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Gianluca Sottile

Università degli Studi di Palermo University of Palermo
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Gianluca Sottile

Gianluca Sottile

Professore Associato di Statistica (STAT-01/A) Associate Professor of Statistics (STAT-01/A)
Dipartimento di Scienze Economiche, Aziendali e Statistiche (SEAS)
Università degli Studi di Palermo, Italia
Department of Economics, Business and Statistics (SEAS)
University of Palermo, Italy

Sono Professore Associato di Statistica presso il Dipartimento di Scienze Economiche, Aziendali e Statistiche dell’Università degli Studi di Palermo. La mia attività scientifica si colloca nell’ambito della statistica metodologica e computazionale, con particolare riferimento a modelli penalizzati, inferenza grafica, regressione quantilica e analisi di dati funzionali e ad alta dimensionalità. I miei interessi metodologici si accompagnano ad applicazioni interdisciplinari in ambito ambientale, biomedico e genomico. Ho conseguito il dottorato in Statistica con menzione di Doctor Europaeus e ho partecipato a diversi progetti di ricerca nazionali, tra cui PRIN su modelli grafici, qualità dell’aria, asma ed eventi sismici. Sono inoltre co-inventore di un brevetto italiano nell’ambito dell’autenticazione genetica dei prodotti agroalimentari. Utilizzo abitualmente R per ricerca, didattica e sviluppo metodologico. I am an Associate Professor of Statistics at the Department of Economics, Business and Statistics, University of Palermo. My research lies in methodological and computational statistics, with a focus on penalized models, graphical inference, quantile regression, and functional and high-dimensional data analysis. These methodological interests are accompanied by interdisciplinary applications in environmental, biomedical, and genomic research. I earned my PhD in Statistics with the Doctor Europaeus distinction and have been involved in several national research projects, including PRIN initiatives on graphical models, air pollution, asthma, and earthquake forecasting. I am also co-inventor of an Italian patent in the field of genetic authentication of agri-food products. I regularly use R for research, teaching, and methodological development.

Ultime Notizie Breaking News

  • Nuovo Articolo!New Article!
    Machine learning approaches for asthma exacerbation predictions: a systematic review
    Artificial Intelligence Review
    (Cilluffo G, Atzeni M, Malizia V, Vettoretti M, Sottile G)
  • Nuovo Articolo!New Article!
    Functional Gaussian Graphical Regression Models For Air Quality Data
    Journal of the Royal Statistical Society Series C: Applied Statistics
    (Fici R, Sottile G, Wit E & Augugliaro L)
  • Conferenza Futura!Future Conference!
    18th International Conference on Statistical Analysis of Textual Data - University of Palermo, Italy, July 8–10, 2026
  • Conferenza Futura!Future Conference!
    53rd SIS and 1st FENStatS Scientific Meetings - Sapienza University of Rome, Italy, June 22–25, 2026

Interessi di Ricerca Research Interests

Selezione di variabili Variable selection Apprendimento statistico Statistical learning Modelli grafici Graphical models Dati funzionali Functional data Regressione quantilica Quantile regression Statistica robusta Robust statistics Dati mancanti Missing data Clustering Clustering
500+
CitazioniCitations
40+
PubblicazioniPublications
13
H-indexH-index
R
Linguaggio PrincipalePrimary Language

Formazione Education

2018
PhD in Statistics — Doctor Europaeus
Università degli Studi di Palermo — Tesi: "Penalized regression and clustering in high-dimensional data"Thesis: "Penalized regression and clustering in high-dimensional data"
2014
MSc in Statistical Sciences (110/110 e lode)
Università degli Studi di Palermo
2012
BSc in Applied Mathematics
Università degli Studi di Palermo

Posizioni Accademiche Academic Positions

Agosto 2025 — Oggi
Professore AssociatoAssociate Professor
DSEAS — Università degli Studi di Palermo (G.S.D. 13/STAT-01)
Agosto 2022 — Luglio 2025
Ricercatore a Tempo Determinato (RTD-B)Senior Assistant Professor
DSEAS — Università degli Studi di Palermo (G.S.D. 13/STAT-01)
Luglio 2019 — Luglio 2022
Ricercatore a Tempo Determinato (RTD-A)Junior Assistant Professor
DSEAS — Università degli Studi di Palermo (G.S.D. 13/STAT-04)
Febbraio 2018 — Febbraio 2019
Assegnista di RicercaPostdoctoral Research Fellow
DSEAS — Università degli Studi di Palermo — Tecniche statistiche per selezione SNP nella tracciabilità di prodotti lattiero-caseari tipici siciliani (PON PROFOOD)Statistical techniques for SNP selection in traceability of typical Sicilian dairy products (PON PROFOOD)

Visiting & Fellowship Visiting & Fellowships

Gennaio — Luglio 2021
Visiting ResearcherVisiting Researcher
Institute of Computational Science, USI Lugano — Collaborazione sul pacchetto R cglasso con L. Augugliaro, V. Vinciotti & E.J.C. WitCollaboration on cglasso R package with L. Augugliaro, V. Vinciotti & E.J.C. Wit
Febbraio 2020 — Febbraio 2021
Collaboratore della Ricerca (IRIB-CNR)Research Fellowship (IRIB-CNR)
Istituto per la Ricerca e l'Innovazione Biomedica, CNR Palermo — Studio CHASER: modellizzazione della cronicità dell'asma. Responsabile: Dr.ssa S. La GruttaCHASER Study: modeling childhood asthma chronicity. Coordinator: Dr. S. La Grutta
Settembre — Dicembre 2016
Visiting ResearcherVisiting Researcher
The Institute of Environmental Medicine, Karolinska Institutet, Stoccolma — Supervisore: Prof. Matteo BottaiSupervisor: Prof. Matteo Bottai

Onorificenze & Membresie Honors & Memberships

2023 — Oggi
Editorial Board — Scientific Reports (Nature Portfolio)
Sezione: Computational Science. IF: 3.8, 5° giornale più citato al mondo (2023)Section: Computational Science. IF: 3.8, 5th most cited journal worldwide (2023)
2020
ASN — Abilitazione Scientifica Nazionale (Seconda Fascia, 13/D1)
Valida fino al 2032Valid until 2032
2019
Società Italiana di Statistica (SIS)
Socio dal 2019 - PresenteMember since 2019 - Present
2016
Statistical Modelling Society
Componente dal 2016 - PresenteMember since 2016 - Present
Best Poster Award (3rd prize) — SIS 2025, Genova. "Time Series Bootstrap for Renewable Energy Analysis in Power Grid Optimization" (G. Marcon, A. Marletta, S. Moradi, G. Zizzo, S. Favuzza & G. Sottile)
Brevetto ItalianoItalian Patent n. 102016000104381 (2016) — "Metodo per l'autenticazione di prodotti alimentari lattiero-caseari mediante analisi di polimorfismi a singolo nucleotide""Method for authentication of dairy products through single nucleotide polymorphism analysis" (M. Chiodi, R. Di Gerlando, S. Mastrangelo, B. Portolano, M.T. Sardina, G. Sottile, M. Tolone)

Didattica Teaching

Attività didattiche presso l'Università degli Studi di Palermo Teaching activities at the University of Palermo

Corsi Attuali Current Courses

Second Level Master 2.5 CFU (20h)

Introduzione al Machine Learning

Master Universitario di Secondo Livello in Data Science per le Amministrazioni Pubbliche e Private — SEAS, UniPa.Second Level Master Data Science for Public and Private Administrations — SEAS, UniPa.

Jan 2026 — Present
Master 6 CFU

Statistical Machine Learning

Corso di Laurea Magistrale in Statistica e Data Science (LM82/LMData) — SEAS, UniPa.Master Degree in Statistics and Data Science (LM82/LMData) — SEAS, UniPa.

Sep 2024 — Present
Bachelor 8 CFU

StatisticaStatistics

Corso di Laurea Triennale in Economia e Amministrazione Aziendale (L18) — SEAS, UniPa.BSc course in Economics and Business Administration (L18) — SEAS, UniPa.

Sep 2025 — Present

Corsi Passati Past Courses

Bachelor9 CFU

StatisticaStatistics

Corso di Laurea Triennale in Ingegneria Informatica (L8) — Ingegneria, UniPa.Master Degree in Statistics and Data Science (L8) — Engineering, UniPa.

Sep 2023 — Jul 2024
Master6 CFU

Optimization for Statistical and Machine Learning

Corso di Laurea Magistrale in Statistica e Data Science (LM82) — SEAS, UniPa.Master Degree in Statistics and Data Science (LM82) — SEAS, UniPa.

Sep 2023 — Jul 2024
Master3 CFU

Laboratorio di Mercati FinanziariFinancial Markets Laboratory

Corso di Laurea Magistrale in Statistica e Data Science (LM82) — SEAS, UniPa.Master Degree in Statistics and Data Science (LM82) — SEAS, UniPa.

Sep 2021 — Jul 2024
Bachelor6 CFU

StatisticaStatistics

Corso di Laurea Triennale in Disegno Industriale (L4) — Architettura, UniPa.BSc course in Industrial Design (L4) — Architecture, UniPa.

Mar 2019 — Feb 2020
Bachelor6 CFU

StatisticaStatistics

Corso di Laurea Triennale in Biologia/Scienze Naturali (LM6/LM60) — Scienze della Terra e del Mare, UniPa.BSc course in Biology/Natural Sciences (LM6/LM60) — Earth and Marine Sciences, UniPa.

Mar 2018 — Feb 2019

Didattica Dottorato PhD Teaching

PhD Course3 CFU

Statistical Machine Learning

PhD in Economics, Business and Statistics — SEAS, UniPa. January 2025 (15 hours).

PhD Course2 CFU

An R Tutorial for Beginners

PhD program — UniPa. January–June 2020 (10 hours). Tutorial interattivo con esercizi e dataset.Interactive tutorial with exercises and datasets.

Ricerca Research

Pubblicazioni selezionate e produzione scientifica organizzata per anno Selected publications and scientific output organized by year

Articoli selezionati Selected papers
Machine learning approaches for asthma exacerbation predictions: a systematic review
Cilluffo, Giovanna; Atzeni, Michele; Malizia, Velia; Vettoretti, Martina; Sottile, Gianluca
Artificial Intelligence Review, 59(4)
Journal Open Access
Functional Gaussian graphical regression models for air quality data
Fici, Rita; Sottile, Gianluca; Augugliaro, Luigi; Wit, Ernst C.
Journal of the Royal Statistical Society. Series C: Applied Statistics, 75(1), 225–246
Journal Open Access
Sparse inference of the human haematopoietic system from heterogeneous and partially observed genomic data
Sottile, Gianluca; Augugliaro, Luigi; Vinciotti, Veronica; Arancio, Walter; Coronnello, Claudia
Journal of the Royal Statistical Society. Series C: Applied Statistics, 74(1), 204–228
Journal Open Access
A comprehensive environmental exposure indicator and respiratory health in asthmatic children: a case study
Cilluffo, Giovanna; Sottile, Gianluca; Ferrante, Giuliana; Fasola, Salvatore; Malizia, Velia; Montalbano, Laura; Ranzi, Andrea; Badaloni, Chiara; Viegi, Giovanni; La Grutta, Stefania
Environmental and Ecological Statistics, 31(2), 297–315
Journal Open Access
Parametric estimation of non-crossing quantile functions
Sottile, Gianluca; Frumento, Paolo
Statistical Modelling, 23(2), 173–195
Journal Open Access
cglasso: An R Package for Conditional Graphical Lasso Inference with Censored and Missing Values
Augugliaro, Luigi; Sottile, Gianluca; Wit, Ernst C.; Vinciotti, Veronica
Journal of Statistical Software, 105(1), 1–58
Journal Open Access
Joint modelling of non-crossing additive quantile regression via constrained B-spline varying coefficients
Muggeo, Vito M.R.; Sottile, Gianluca; Cilluffo, Giovanna
Statistical Modelling, 23(5-6), 540–554
Journal
A PCA-based clustering algorithm for the identification of stratiform and convective precipitation at the event scale: an application to the sub-hourly precipitation of Sicily, Italy
Sottile, Gianluca; Francipane, Antonio; Adelfio, Giada; Noto, Leonardo V.
Stochastic Environmental Research and Risk Assessment, 36(8), 2303–2317
Journal Open Access
Robust estimation and regression with parametric quantile functions
Sottile, Gianluca; Frumento, Paolo
Computational Statistics and Data Analysis, 171
Journal
A penalized approach to covariate selection through quantile regression coefficient models
Sottile, Gianluca; Frumento, Paolo; Chiodi, Marcello; Bottai, Matteo
Statistical Modelling, 20(4), 369–385
Journal Open Access
The Induced Smoothed lasso: A practical framework for hypothesis testing in high dimensional regression
Cilluffo, Giovanna; Sottile, Gianluca; La Grutta, Stefania; Muggeo, Vito MR
Statistical Methods in Medical Research, 29(3), 765–777
Journal
The conditional censored graphical lasso estimator
Augugliaro, Luigi; Sottile, Gianluca; Vinciotti, Veronica
Statistics and Computing, 30(5), 1273–1289
Journal Open Access
Clusters of effects curves in quantile regression models
Sottile, Gianluca; Adelfio, Giada
Computational Statistics, 34(2), 551–569
Journal
Pubblicazioni per anno Publications by year
2026
Functional Gaussian graphical regression models for air quality data
Fici, Rita; Sottile, Gianluca; Augugliaro, Luigi; Wit, Ernst C.
Journal of the Royal Statistical Society. Series C: Applied Statistics, 75(1), 225–246
Journal Open Access
Machine learning approaches for asthma exacerbation predictions: a systematic review
Cilluffo, Giovanna; Atzeni, Michele; Malizia, Velia; Vettoretti, Martina; Sottile, Gianluca
Artificial Intelligence Review, 59(4)
Journal Open Access
2025
Sparse inference of the human haematopoietic system from heterogeneous and partially observed genomic data
Sottile, Gianluca; Augugliaro, Luigi; Vinciotti, Veronica; Arancio, Walter; Coronnello, Claudia
Journal of the Royal Statistical Society. Series C: Applied Statistics, 74(1), 204–228
Journal Open Access
2024
A comprehensive environmental exposure indicator and respiratory health in asthmatic children: a case study
Cilluffo, Giovanna; Sottile, Gianluca; Ferrante, Giuliana; Fasola, Salvatore; Malizia, Velia; Montalbano, Laura; Ranzi, Andrea; Badaloni, Chiara; Viegi, Giovanni; La Grutta, Stefania
Environmental and Ecological Statistics, 31(2), 297–315
Journal Open Access
Influence of season and photoperiod in severe dog attack cases on humans in a Mediterranean climate region
Alberghina, Daniela; Sottile, Gianluca; Virga, Antonino Nazareno; Brancato, Giacoma; Panzera, Michele
Journal of Veterinary Behavior, 73, 46–50
Journal
A high-density genome-wide approach reveals novel genetic markers linked to small ruminant lentivirus susceptibility in sheep
Riggio, Silvia; Tolone, Marco; Sottile, Gianluca; Tumino, Serena; Portolano, Baldassare; Sutera, Anna Maria; Sardina, Maria Teresa; Cesarani, Alberto; Mastrangelo, Salvatore
Frontiers in Genetics, 15
Journal Open Access
2023
A 10-year retrospective analysis (2012-2021) of hospitalizations resulting from dog bites in Southern Italy
Alberghina, Daniela; Virga, Antonino; Sottile, Gianluca; Buffa, Sergio Pio; Panzera, Michele
Frontiers in Veterinary Science, 10
Journal Open Access
cglasso: An R Package for Conditional Graphical Lasso Inference with Censored and Missing Values
Augugliaro, Luigi; Sottile, Gianluca; Wit, Ernst C.; Vinciotti, Veronica
Journal of Statistical Software, 105(1), 1–58
Journal Open Access
Analyzing post modern consumer behavior and beef consumption patterns: Insights from Sicilian market
Modica, Federico; Sciortino, Caterina; Bonanno, Adriana; Virga, Nazareno Antonino; Sciortino, Natalia; Sottile, Gianluca; Sgroi, Filippo
Future Foods, 8
Journal Open Access
Parametric estimation of non-crossing quantile functions
Sottile, Gianluca; Frumento, Paolo
Statistical Modelling, 23(2), 173–195
Journal Open Access
Joint modelling of non-crossing additive quantile regression via constrained B-spline varying coefficients
Muggeo, Vito M.R.; Sottile, Gianluca; Cilluffo, Giovanna
Statistical Modelling, 23(5-6), 540–554
Journal
2022
Robust estimation and regression with parametric quantile functions
Sottile, Gianluca; Frumento, Paolo
Computational Statistics and Data Analysis, 171
Journal
The neglected status of the vermetid reefs in the Mediterranean Sea: A systematic map
Picone, Flavio; Sottile, Gianluca; Fazio, Concetta; Chemello, Renato
Ecological Indicators, 143
Journal Open Access
A multivariate statistical test for differential expression analysis
Tumminello, Michele; Bertolazzi, Giorgio; Sottile, Gianluca; Sciaraffa, Nicolina; Arancio, Walter; Coronnello, Claudia
Scientific Reports, 12(1)
Journal Open Access
A PCA-based clustering algorithm for the identification of stratiform and convective precipitation at the event scale: an application to the sub-hourly precipitation of Sicily, Italy
Sottile, Gianluca; Francipane, Antonio; Adelfio, Giada; Noto, Leonardo V.
Stochastic Environmental Research and Risk Assessment, 36(8), 2303–2317
Journal Open Access
Migration and students' performance: detecting geographical differences following a curves clustering approach
Boscaino, Giovanni; Sottile, Gianluca; Adelfio, Giada
Journal of Applied Statistics, 49(4), 1018–1032
Journal Open Access
2021
Activation-Induced Rigidity in Neurologically and Cognitively Healthy Individuals Aged 18-90 Years: A Cross-Sectional Study
Camarda, Cecilia; Torelli, Paola; Pipia, Carmela; Battaglini, Iacopo; Sottile, Gianluca; Cilluffo, Giovanna; Camarda, Rosolino
Journal of Parkinson's Disease, 11(2), 847–856
Journal Open Access
A model-based approach for assessing bronchodilator responsiveness in children: The conventional cutoff revisited
Sottile, Gianluca; Ferrante, Giuliana; Cilluffo, Giovanna; Fasola, Salvatore; Malizia, Velia; Muggeo, Vito M.R.; Viegi, Giovanni; La Grutta, Stefania
Journal of Allergy and Clinical Immunology, 147(2), 769–772.e10
Journal Open Access
2020
Isolated, Subtle Neurological Abnormalities in Mild Cognitive Impairment Types
Camarda, Cecilia; Camarda, Rosolino; Pipia, Carmela; Azzarello, Delia; Grassedonio, Emanuele; Sottile, Gianluca; Cilluffo, Giovanna; Torelli, Paola
Canadian Journal of Neurological Sciences, 47(1), 77–91
Journal Open Access
The conditional censored graphical lasso estimator
Augugliaro, Luigi; Sottile, Gianluca; Vinciotti, Veronica
Statistics and Computing, 30(5), 1273–1289
Journal Open Access
Apoe genotypes and brain imaging classes in normal cognition, mild cognitive impairment, and alzheimer’s disease: A longitudinal study
Camarda, Cecilia; Torelli, Paola; Pipia, Carmela; Sottile, Gianluca; Cilluffo, Giovanna; Camarda, Rosolino
Current Alzheimer Research, 17(8), 766–780
Journal
Genome-wide detection of signatures of selection in three Valdostana cattle populations
Mastrangelo, Salvatore; Ben Jemaa, Slim; Ciani, Elena; Sottile, Gianluca; Moscarelli, Angelo; Boussaha, Mekki; Montedoro, Marina; Pilla, Fabio; Cassandro, Martino
Journal of Animal Breeding and Genetics, 137(6), 609–621
Journal Open Access
Refining the genetic structure and relationships of European cattle breeds through meta-analysis of worldwide genomic SNP data, focusing on Italian cattle
Mastrangelo, Salvatore; Tolone, Marco; Ben Jemaa, Slim; Sottile, Gianluca; Di Gerlando, Rosalia; Cortés, Oscar; Senczuk, Gabriele; Portolano, Baldassare; Pilla, Fabio; Ciani, Elena
Scientific Reports, 10(1)
Journal Open Access
Genome-wide analyses identifies known and new markers responsible of chicken plumage color
Mastrangelo, Salvatore; Cendron, Filippo; Sottile, Gianluca; Niero, Giovanni; Portolano, Baldassare; Biscarini, Filippo; Cassandro, Martino
Animals, 10(3)
Journal Open Access
Genome-wide analyses reveal the regions involved in the phenotypic diversity in Sicilian pigs
D’Alessandro, E.; Sottile, G.; Sardina, M.T.; Criscione, A.; Bordonaro, S.; Sutera, A.M.; Zumbo, A.; Portolano, B.; Mastrangelo, S.
Animal Genetics, 51(1), 101–105
Journal
A penalized approach to covariate selection through quantile regression coefficient models
Sottile, Gianluca; Frumento, Paolo; Chiodi, Marcello; Bottai, Matteo
Statistical Modelling, 20(4), 369–385
Journal Open Access
The Induced Smoothed lasso: A practical framework for hypothesis testing in high dimensional regression
Cilluffo, Giovanna; Sottile, Gianluca; La Grutta, Stefania; Muggeo, Vito MR
Statistical Methods in Medical Research, 29(3), 765–777
Journal
2019
Nociceptive Primitive Reflexes in Neurologically and Cognitively Healthy Aging Subjects
Camarda, Cecilia; Torelli, Paola; Pipia, Carmela; Azzarello, Delia; Battaglini, Iacopo; Sottile, Gianluca; Cilluffo, Giovanna; Camarda, Rosolino
Canadian Journal of Neurological Sciences, 46(2), 199–208
Journal Open Access
A combined genome-wide approach identifies a new potential candidate marker associated with the coat color sidedness in cattle
Mastrangelo, Salvatore; Sottile, Gianluca; Sardina, Maria Teresa; Sutera, Anna Maria; Tolone, Marco; Di Gerlando, Rosalia; Portolano, Baldassare
Livestock Science, 225, 91–95
Journal
An association analysis to identify genetic variants linked to asthma and rhino-conjunctivitis in a cohort of Sicilian children
Sottile, Gianluca; Ferrante, Giuliana; Torregrossa, Marta; Cibella, Fabio; Cilluffo, Giovanna; Fasola, Salvatore; Alessandro, Riccardo; Seidita, Gregorio; Viegi, Giovanni; La Grutta, Stefania
Italian Journal of Pediatrics, 45(1)
Journal Open Access
Combined approaches to identify genomic regions involved in phenotypic differentiation between low divergent breeds: Application in Sardinian sheep populations
Mastrangelo, Salvatore; Ben Jemaa, Slim; Sottile, Gianluca; Casu, Sara; Portolano, Baldassare; Ciani, Elena; Pilla, Fabio
Journal of Animal Breeding and Genetics, 136(6), 526–534
Journal
Mild Parkinsonian signs in a hospital-based cohort of mild cognitive impairment types: A cross-sectional study
Camarda, Cecilia; Torelli, Paola; Pipia, Carmela; Battaglini, Iacopo; Azzarello, Delia; Rosano, Rosamaria; Ventimiglia, Caterina Claudia; Sottile, Gianluca; Cilluffo, Giovanna; Camarda, Rosolino
Current Alzheimer Research, 16(7), 633–649
Journal
Clusters of effects curves in quantile regression models
Sottile, Gianluca; Adelfio, Giada
Computational Statistics, 34(2), 551–569
Journal
Genome-wide analysis identifies potentially causative genes explaining the phenotypic variability in Pinzirita sheep
Mastrangelo, Salvatore; Criscione, Andrea; Sottile, Gianluca; Portolano, Baldassare; Marletta, Donata; Bordonaro, Salvatore
Animal Genetics, 50(2), 189–190
Journal
Genome-wide association study between CNVs and milk production traits in Valle del Belice sheep
Di Gerlando, Rosalia; Sutera, Anna Maria; Mastrangelo, Salvatore; Tolone, Marco; Portolano, Baldassare; Sottile, Gianluca; Bagnato, Alessandro; Strillacci, Maria Giuseppina; Sardina, Maria Teresa
PLoS ONE, 14(4)
Journal Open Access
2018
Penalized classification for optimal statistical selection of markers from high-throughput genotyping: Application in sheep breeds
Sottile, G.; Sardina, M.T.; Mastrangelo, S.; Di Gerlando, R.; Tolone, M.; Chiodi, M.; Portolano, B.
Animal, 12(6), 1118–1125
Journal Open Access
Runs of homozygosity reveal genome-wide autozygosity in Italian sheep breeds
Mastrangelo, S.; Ciani, E.; Sardina, M.T.; Sottile, G.; Pilla, F.; Portolano, B.
Animal Genetics, 49(1), 71–81
Journal
Association between atrophy of the caudate nuclei, global brain atrophy, cerebral small vessel disease and mild parkinsonian signs in neurologically and cognitively healthy subjects aged 45-84 years: A cross-sectional study
Camarda, Cecilia; Torelli, Paola; Pipia, Carmela; Battaglini, Iacopo; Azzarello, Delia; Rosano, Rosamaria; Ventimiglia, Giusi Daniela; Sottile, Gianluca; Cilluffo, Giovanna; Camarda, Rosolino
Current Alzheimer Research, 15(11), 1013–1026
Journal
Genome-wide association study reveals the locus responsible for microtia in Valle del Belice sheep breed
Mastrangelo, S.; Sottile, G.; Sutera, A.M.; Di Gerlando, R.; Tolone, M.; Moscarelli, A.; Sardina, M.T.; Portolano, B.
Animal Genetics, 49(6), 636–640
Journal
2017
Genome-wide scan for runs of homozygosity identifies potential candidate genes associated with local adaptation in Valle del Belice sheep
Mastrangelo, Salvatore; Tolone, Marco; Sardina, Maria T.; Sottile, Gianluca; Sutera, Anna M.; Di Gerlando, Rosalia; Portolano, Baldassare
Genetics Selection Evolution, 49(1)
Journal Open Access

Software

Pacchetti R disponibili su CRAN o GitHub R packages available on CRAN or GitHub

CRANR Package

islasso

The Induced Smoothed Lasso. Selezione di variabili tramite smoothing indotto della penalità Lasso, con stima degli errori standard e test d'ipotesi.The Induced Smoothed Lasso. Variable selection via induced smoothing of the Lasso penalty, with standard error estimation and hypothesis testing.

CRANR Package

Qest

Quantile-Based Estimator. Metodi di stima basati sui quantili per la modellistica statistica robusta e la regressione quantilica.Quantile-Based Estimator. Quantile-based estimation methods for robust statistical modeling and quantile regression frameworks.

CRANR Package

qrcmNP

Nonlinear and Penalized Quantile Regression Coefficients Modeling. Estende la regressione quantilica con modellizzazione non lineare e penalizzata dei coefficienti.Nonlinear and Penalized Quantile Regression Coefficients Modeling. Extends quantile regression with nonlinear and penalized coefficient modeling.

CRANR Package

clustEff

Clusters of Effects Curves in Quantile Regression Models. Strumenti per il clustering e la visualizzazione delle curve di effetto nella regressione quantilica.Clusters of Effects Curves in Quantile Regression Models. Tools for clustering and visualizing effect curves in quantile regression analysis.

GitHubR functions

jcggm

Il modello Joint Conditional Graphical LASSO con valori censurati e/o mancanti.The Joint Conditional Graphical LASSO model with censored and/or missing values.

Progetti Projects

Progetti di ricerca e iniziative collaborative Research projects and collaborative initiatives

PRIN & Progetti NazionaliNational Projects

PRIN 2024AttivoActive

Spatio-temporal Functional Marked Point Processes for Probabilistic Forecasting of Earthquakes

PI: Prof. G. Adelfio (UniPa). ERC: PE1. Partecipazione da settembre 2024.Participation from September 2024.

PRIN 2023CompletatoCompleted

COMBINERS — COmplex graphical Models for BIological NEtwoRk Science

PI: Prof. F. Stingo (UniFi). Prot. 2022SMNNKY_004 — ERC: PE1. Contributo a 2 paper su JRSS Series C sul sistema ematopoietico e su dati di qualità dell'aria.Contributed to 2 papers in JRSS Series C paper on haematopoietic system and air quality data.

PRIN 2023CompletatoCompleted

BREATHE — Big data, IoT and AI for Air Pollution and Asthma Exacerbations

PI: Dr. M. Vettoretti (UniPadova). Prot. 2022EC49YC_002 — ERC: PE6. Contributo al paper su Artificial Intelligence Review su una revisione sistematica sugli approcci di machine learning per la previsione delle esarcebazioni asmatiche.Contributed to Artificial Intelligence Review paper on on a systematic review of machine learning approaches for the prediction of asthma exacerbations.

PRIN 2017CompletatoCompleted

Complex Space-Time Modeling and Functional Analysis for Probabilistic Forecast of Seismic Events

PI: Prof. G. Adelfio (UniPa). Prot. 20157PRZC4_001 — ERC: PE1. Contributo al paper su Computational Statistics sui clusters di curve di effetto.Contributed to Computational Statistics paper on clusters of effects curves.

PON, PO FESR & Progetti ApplicatiApplied Projects

PON2017–2020

PROFOOD — Valorizzazione produzioni lattiero-casearie sicilianeValorization of Sicilian dairy products

PON02_00451_3133441. PI: Prof. B. Portolano (UniPa). Selezione SNP per tracciabilità di prodotti lattiero-caseari tipici siciliani. Contributo a 4 paper su genetica del bestiame.SNP selection for traceability of typical Sicilian dairy products. Contributed to 4 papers on livestock genetics.

PON2018–2020

Approccio integrato per prodotti agroalimentari sicilianiIntegrated approach for Sicilian agri-food products

F/050267/03X32 — PON Imprese e Competitività 2014-2020. PI: Dr. N. Francesca (UniPa).

PON2018–2020

Biotecnologie molecolari per filiere lattiero-casearieMolecular biotechnologies for dairy supply chains

PON01_02249. PI: Prof. B. Portolano (UniPa). Contributo al paper Livestock Science su coat color sidedness nei bovini.Contributed to Livestock Science paper on coat color sidedness in cattle.

PSRN2020–2022

LEO — Livestock Environment Opendata

PSRN 2014-2020, Sottomisura 16.2, PRJ-0185. PI: Prof. B. Portolano (UniPa). Contributo al paper Scientific Reports su meta-analisi di razze bovine europee.Contributed to Scientific Reports paper on European cattle breeds meta-analysis.

PO FESR2019–2022

TRAIProL@C — Tracciabilità lattiero-casearia ovineTraceability of sheep dairy products

PO FESR 2014-2020, Misura 1.1.5. PI: Prof. M.T. Sardina (UniPa). Autenticazione e tracciabilità di prodotti lattiero-caseari ovini innovativi e monorazza.Authentication and traceability of innovative single-breed sheep dairy products.

Clinical2018–2020

CHASER Study — Asma infantile e ambienteChildhood Asthma and Environment

ClinicalTrial.gov NCT02433275. Coordinator: Dr. S. La Grutta. Modellizzazione della cronicità dell'asma via modelli multi-stato e a rischi competitivi. Contributo al paper JACI.Modeling asthma chronicity via multi-state and competing risks models. Contributed to JACI paper.

Divulgazione & Outreach Dissemination & Outreach

CoViSTAT192020

Monitoraggio Statistico dell'Epidemia COVID-19 in ItaliaStatistical Monitoring of the COVID-19 Epidemic in Italy

Sito del gruppo di ricerca con analisi e riflessioni sull'evoluzione dell'epidemia COVID-19 in Italia. Modellistica statistica per monitorare e predire l'evoluzione epidemica.Research group website providing analyses and reflections on the COVID-19 epidemic evolution in Italy. Statistical modeling to monitor and predict epidemic evolution.

PON AIMResearch

Modellizzazione del Sistema microRNAModeling of the microRNA System

Creazione di modelli di interazione microRNA-target per diversi tessuti usando database pubblici (NIH-TCGA). Sviluppo di algoritmi per predire geni regolati da microRNAs.Creation of microRNA-target interaction network models for different tissues using public databases (NIH-TCGA). Development of algorithms for predicting genes regulated by microRNAs.

Talks & Conferences

Talks invitati, contributi a conferenze, poster e attività di organizzazione scientifica Invited talks, conference contributions, posters, and scientific organization

Talks invitati Invited talks
Contributi e poster per anno Contributed talks and posters by year
2026
Milk Traceability via Functional Data Analysis and Machine Learning Techniques
Pinello D., Sottile, G., Mineo A., Mastrangelo S., Augugliaro L., Cesarani, A.
SDS 2026, Caserta, March 30-31 and April 1, 2026
Contributed
2025
Time Series Bootstrap for Renewable Energy Analysis in Power Grid Optimization
Marcon G., Marletta A., Moradi S., Zizzo G., Favuzza S., Sottile G.
SIS 2025, Genova, June 16–18, 2025 — 3rd Best Poster Award
Poster Award
A Novel Spectral Density Operator Approach to Unveil Dynamic Time Dependencies
Gagliano A., Di Maria C., Sottile G., Beutler-Traktovenko S., Augugliaro L., Vitelli V.
Contributions to Statistics, Novara, June 25–27, 2025
Contributed
Multichannel ECG Spectral Analysis via Functional Data Methods
Gagliano A., Di Maria C., Sottile G., Beutler-Traktovenko S., Augugliaro L., Vitelli V.
SIS 2025, Genova, June 16–18, 2025
Contributed
2024
Single-cell Sequencing Data: Critical Analysis and Definition of Statistical Models
Gagliano A., Sottile G., Sciaraffa N., Coronnello C., Augugliaro L.
SDS-SIS 2024, Palermo, April 11–12, 2024
Contributed
Integrating Pseudo-time in Network Interaction Analysis to Uncover Genetic Pathways in Thyroid Cancer
Gagliano A., Sottile G., Sciaraffa N., Coronnello C., Augugliaro L.
SIS 2024, Bari, June 17–20, 2024
Contributed
Asthma Prediction Tool in Preschool Children: Evidence from Statistical Learning
Pandolfo A., Sottile G., Malizia V., Shatarat O., Lazzara V., Muggeo V., Viegi G., La Grutta S.
SIS 2024, Bari, June 17–20, 2024
Contributed
Segmented quantile regression process with tau-varying breakpoints
Muggeo V., Sottile G.
IWSM 2024, Durham, UK, July 14–19, 2024
Contributed
2023
Sparse Inference in functional conditional Gaussian Graphical Models under Partial Separability
Fici R., Sottile G., Augugliaro L.
SDS 2023, Pavia, April 27–28, 2023
Contributed
Conditional Gaussian Graphical Models for Functional Variables with Partially Separable Operators
Fici R., Sottile G., Augugliaro L.
SEAS 2023, Ancona, June 21–23, 2023
Contributed
2022
The Joint Censored Gaussian Graphical Lasso Model
Sottile G., Augugliaro L., Vinciotti V.
SIS 2022, Caserta, June 22–24, 2022
Contributed
2021
Sparse Inference in Covariate Adjusted Censored Gaussian Graphical Models
Augugliaro L., Sottile G., Mineo A.
CLADAG 2021, Firenze, September 9–11, 2021
Contributed
Covariate adjusted censored Gaussian lasso estimator
Augugliaro L., Sottile G., Vinciotti V.
SIS 2021, Pisa, June 21–25, 2021
Contributed
2019
Non-crossing quantile regression via monotone B-spline varying coefficients
Sottile G., Muggeo V.M.R.
IWSM 2019, Guimarães, Portugal, July 7–12, 2019
Poster
2018
The induced smoothing for penalized quantile regression
Sottile G., Muggeo V.M.R.
IWSM 2018, Bristol, UK, July 16–20, 2018
Poster
2017
A new approach for clustering of effects in quantile regression
Sottile G., Adelfio G.
IWSM 2017, Groningen, Netherlands, July 3–7, 2017
Poster
2016
Tuning parameter selection in LASSO regression
Sottile G., Muggeo V.M.R.
IWSM 2016, Groningen, Netherlands, July 4–8, 2016
Poster
Organizzazione scientifica Scientific organization
Scientific Committee 2026

IFCS 2026 — 19th Conference Of The International Federation Of Classification Societies

Università degli Studi di Milano and Milano-Bicocca, July 14–16, 2026. Responsabile locale: Prof. F. Greselin.Local chair: Prof. F. Greselin.

Organizer 2026

JADT 2026 — 18th International Conference on Statistical Analysis of Textual Data

Università degli Studi di Palermo, July 8–10, 2026. Responsabile locale: Prof. A. Plaia.Local chair: Prof. A. Plaia.

Organizer 2024

SDS-SIS 2024 — Statistics and Data Science

Università degli Studi di Palermo, April 11–12, 2024. Responsabile locale: Prof. A. Plaia.Local chair: Prof. A. Plaia.

Organizer 2023

GRASPA-SIS 2023 — Environmental Statistics

Università degli Studi di Palermo, July 10–11, 2023. Responsabile locale: Prof. G. Adelfio.Local chair: Prof. G. Adelfio.

Organizer 2022

AMASES 2022 — Mathematics Applied to Social and Economic Sciences

Università degli Studi di Palermo, September 22–24, 2022. Responsabile locale: Prof. A. Consiglio.Local chair: Prof. A. Consiglio.

Session Chair 2023

SDS 2023 — High Dimensional Data

Università degli Studi di Pavia, April 27–28, 2023. Sessione con F. Stingo, V. Vinciotti, E. Wit.Session with F. Stingo, V. Vinciotti, E. Wit.

Session Chair 2021

CLADAG 2021 — Penalized Techniques for Data Analysis

Università degli Studi di Firenze, September 9–11, 2021. Sessione con M. Chiodi, P. Giudici, E.J.C. Wit.Session with M. Chiodi, P. Giudici, E.J.C. Wit.

Contatti Contact

Per collaborazioni, supervisione tesi o informazioni sui corsi Get in touch for collaborations, thesis supervision, or course information

Informazioni di Contatto Contact Information

IndirizzoAddress Dipartimento di Scienze Econmiche, Aziendali e Statistiche (SEAS)
Università degli Studi di Palermo
Viale delle Scienze Ed. 13, 90128 Palermo, Italia
Department of Economics, Business and Statistics (SEAS)
University of Palermo
Viale delle Scienze Bldg. 13, 90128 Palermo, Italy
Orario di RicevimentoOffice Hours Su appuntamento via emailBy appointment via email

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