A Bayesian Inference Framework to Reconstruct Transmission Trees Using Epidemiological and Genetic Data. - Marco J. Morelli; Gaël Thébaud; Joël Chadoeuf; Donald P. King; Daniel T. Haydon; Samuel Soubeyrand (PLoS Comput. Biol., 2012)

Using combined evidence from replicates to evaluate ChIP-seq peaks. - Vahid Jalili; Matteo Matteucci; Marco Masseroli; Marco J. Morelli (Bioinform., 2015)

INSPEcT: a computational tool to infer mRNA synthesis, processing and degradation dynamics from RNA- and 4sU-seq time course experiments. - Stefano de Pretis; Theresia Kress; Marco J. Morelli; Giorgio E. M. Melloni; Laura Riva; Bruno Amati; Mattia Pelizzola (Bioinform., 2015)

methylPipe and compEpiTools: a suite of R packages for the integrative analysis of epigenomics data. - Kamal Kishore; Stefano de Pretis; Ryan Lister; Marco J. Morelli; Valerio Bianchi; Bruno Amati; Joseph R. Ecker; Mattia Pelizzola (BMC Bioinform., 2015)

MuSERA: Multiple Sample Enriched Region Assessment. - Vahid Jalili; Matteo Matteucci; Marco J. Morelli; Marco Masseroli (Briefings Bioinform., 2017)

FunChIP: an R/Bioconductor package for functional classification of ChIP-seq shapes. - Alice C. L. Parodi; Laura M. Sangalli; Simone Vantini; Bruno Amati; Piercesare Secchi; Marco J. Morelli (Bioinform., 2017)

Exposing and Characterizing Subpopulations of Distinctly Regulated Genes by K-Plane Regression. - Fabrizio Frasca; Matteo Matteucci; Marco J. Morelli; Marco Masseroli (CIBB, 2018)

Modeling Gene Transcriptional Regulation by Means of Hyperplanes Genetic Clustering. - Fabrizio Frasca; Matteo Matteucci; Marco Masseroli; Marco J. Morelli (IJCNN, 2018)

Accurate and highly interpretable prediction of gene expression from histone modifications. - Fabrizio Frasca; Matteo Matteucci; Michele Leone; Marco J. Morelli; Marco Masseroli (BMC Bioinform., 2022)