Gianluca Sottile

Peer-reviewed

journals

Mastrangelo, S., Sottile, G., Sardina, M.T., Sutera, A.M., Tolone, M., Di Gerlando, R., Portolano, B. (2019). A combined genome-wide approach identifies a new potential candidate marker associated with the coat color sidedness in cattle. Livestock Science. DOI: 10.1016/j.livsci.2019.05.009.
Di Gerlando, R., Sutera, A.M., Mastrangelo, S., Tolone, M., Portolano, B., Sottile, G., Bagnato, A., Strillacci, M.G., Sardina, M.T. (2019). Genome-wide association study between CNVs and milk production traits in Valle del Belice sheep. PLOS ONE. DOI: 10.1371/journal.pone.0215204.
Cilluffo, G., Sottile, G., La Grutta, S., Muggeo, V.M.R. (2019). The Induced Smoothed Lasso: a practical framework for hypothesis testing in high dimensional regression. Statistical Methods in Medical Research. DOI: 10.1177/0962280219842890.
Sottile, G., Frumento, P., Chiodi, M., Bottai, M. (2019). A Penalized approach to covariate selection through quantile regression coefficient models. Statistical Modelling. DOI: 10.1177/1471082X19825523.
Camarda, C., Torelli, P., Pipia, C., Azzarello, D., Battaglini, I., Sottile, G., Cillluffo, G., Camarda, R. (2019). Nociceptive Primitive Reflexes in Neurologically and Cognitively Healthy Aging Subjects. Canadian Journal of Neurological Sciences. DOI: 10.1017/cjn.2018.388.
Sottile, G., Ferrante, G., Torregrossa, M., Cibella, F., Cilluffo, G., Fasola, S., Alessandro, R., Seidita, G., Viegi, G., La Grutta, S. (2019). An association analysis to identify genetic variants linked to asthma and rhinoconjunctivitis in a cohort of Sicilian children. Italian Journal of Pediatrics. DOI: 10.1186/s13052-019-0603-4.
Mastrangelo, S., Criscione A., Sottile, G., Portolano, B., Marletta D., Bordonaro S. (2019). Genome-wide analysis identifies potentially causative genes explaining the phenotypic variability in Pinzirita sheep. Animal Genetics. DOI: 10.1111/age.12763.
Mastrangelo, S., Sottile, G., Sutera, A.M., Di Gerlando, R., Tolone, M., Moscarelli, A., Sardina, M.T., Portolano, B. (2018). Genome-wide association study reveals the locus responsible for microtia in Valle del Belice sheep breed. Animal Genetics. DOI: 10.1111/age.12719.
Camarda, C., and Torelli, P., and Pipia, C., and Battaglini, I., Azzarello, D., Rosano, R., and Ventimiglia, C.C., Sottile, G., Cilluffo, G., and Camarda, R. (2018). Association Between Cerebral Small Vessel Disease, Measures of Brain Atrophy and Mild Parkinsonian Signs in Neurologically and Cognitively Healthy Subjects Aged 45-84 Years: a Cross-sectional Study. Current Alzheimer Research. DOI: 10.2174/1567205015666180702111110
Sottile, G., Adelfio, G. (2018). Clusters of effects curves in quantile regression models. Computational Statistics. DOI: 10.1007/s00180-018-0817-8
Mastrangelo, S., Ciani, E., Sardina, M., Sottile G., Pilla, F., Portolano B. (2018). Runs of homozygosity reveal genome-wide autozygosity in Italian sheep breeds . Animal Genetics. DOI: 10.1111/age.12634
Mastrangelo, S., Tolone, M., Sardina, M., Sottile, G., Sutera, A., Di Gerlando, R., Portolano, B. (2017). Genome-wide scan for runs of homozygosity identifies potential candidate genes associated with local adaptation in Valle del Belice sheep . Genetic Selection Evolution. DOI: 10.1186/s12711-017-0360-z
Sottile, G., Sardina, M., Mastrangelo, S., Di Gerlando, R., Tolone, M., Chiodi, M., Portolano, B. (2017). Penalized classification for optimal statistical selection of markers from high-throughput genotyping: application in sheep breeds. Animal. DOI: 10.1017/S175173111700266X

Doctoral

Dissertation

Sottile, G. (2018). Penalized regression and clustering in high-dimensional data. Supervisor: Prof. Marcello Chiodi

Anchor 1

Conference

proceedings & Tehnical

reports

Sottile, G., Frumento, P. (2019). Non-Crossing Parametric Quantile Functions: An Application to Extreme Temperatures. Book of Short Papers SIS 2019. ISBN: 9788891915108, Publisher: Pearson, Editors: G. Arbia, S. Peluso, A. Pini, G.Rivellini.
Sottile, G., Muggeo, V. (2019). A new tuning parameter selector in lasso regression. Book of Short Papers SIS 2019. ISBN: 9788891915108, Publisher: Pearson, Editors: G. Arbia, S. Peluso, A. Pini, G.Rivellini.
Boscaino, G., Adelfio, G., Sottile, G.. (2018). A distribution curves comparison approach to analyze the university moving students performance. Book of Short Papers SIS 2018. ISBN: 9788891910233, Publisher: Pearson, Editors: A. Abbruzzo, E. Brentari, M. Chiodi, D. Piacentino.
Sottile, G., Frumento P., Bottai, M. (2018). Quantile Regression Coefficients Modeling: a Penalized Approach. Book of Short Papers SIS 2018. ISBN: 9788891910233, Publisher: Pearson, Editors: A. Abbruzzo, E. Brentari, M. Chiodi, D. Piacentino.
Sottile G., Muggeo V. (2018). The induced smoothing for penalized quantile regression. Proceedings of the 33rd International Workshop on Statistical Modelling.
Sottile G., Adelfio G. (2018). A new method for curves clustering in general dependence models. 1st CRONOS Workshop on Multivariate Data Analysis and Software.
Adelfio G., Di Salvo F., Sottile G. (2017). Depth-based methods for clustering of functional data. Book of Abstracts of the TIES-GRASPA. ISSN 2037-7738
Sottile G., Adelfio G. (2017). A new approach for clustering of effects in quantile regression. Proceedings of the 32nd International Workshop on Statistical Modelling.
Cilluffo G., Sottile G., La Grutta, S., Muggeo V. (2017). Score inference in LASSO regression. Proceedings of the 32nd International Workshop on Statistical Modelling.
Sottile G., Muggeo V. (2017). Tuning parameter selection in LASSO regression. Proceedings of the 31st International Workshop on Statistical Modelling.
Sottile, G., Sardina. M., Mastrangelo, S., Tolone, M., Chiodi, M., Portolano, B. (2015). Identification of breed informative single nucleotide polymorphisms for assigning individual in Sicilian dairy sheep. Proceedings of XXI ASPA Congress. DOI: 10.4081/ijas.2015.s1
Inglese, P., Sortino, G., Gambino, C., Schembari, M., Liguori, G., Cimò, G., Dispenza, V., Sottile, G., De Pasquale, C. (2014). Manuale tecnico applicativo Progetto: “Innova Uva Mazzarone I.U.M. ISBN: 978-88-6213-014-1