Marco J. Morelli

Publication Activity (10 Years)

Years Active: 2012-2022
Publications (10 Years): 6

Top Topics

Randomly Selected

Gene Expression

Biological Processes

Top Venues

Briefings Bioinform.

Publications

Fabrizio Frasca, Matteo Matteucci, Michele Leone, Marco J. Morelli, Marco Masseroli
Accurate and highly interpretable prediction of gene expression from histone modifications. BMC Bioinform. 23 (1) (2022)
Fabrizio Frasca, Matteo Matteucci, Marco Masseroli, Marco J. Morelli
Modeling Gene Transcriptional Regulation by Means of Hyperplanes Genetic Clustering. IJCNN (2018)
Fabrizio Frasca, Matteo Matteucci, Marco J. Morelli, Marco Masseroli
Exposing and Characterizing Subpopulations of Distinctly Regulated Genes by K-Plane Regression. CIBB (2018)
Vahid Jalili, Matteo Matteucci, Marco Masseroli, Marco J. Morelli
Using combined evidence from replicates to evaluate ChIP-seq peaks. Bioinform. 34 (13) (2018)
Vahid Jalili, Matteo Matteucci, Marco J. Morelli, Marco Masseroli
MuSERA: Multiple Sample Enriched Region Assessment. Briefings Bioinform. 18 (3) (2017)
Alice C. L. Parodi, Laura M. Sangalli, Simone Vantini, Bruno Amati, Piercesare Secchi, Marco J. Morelli
FunChIP: an R/Bioconductor package for functional classification of ChIP-seq shapes. Bioinform. 33 (16) (2017)
Vahid Jalili, Matteo Matteucci, Marco Masseroli, Marco J. Morelli
Using combined evidence from replicates to evaluate ChIP-seq peaks. Bioinform. 31 (17) (2015)
Stefano de Pretis, Theresia Kress, Marco J. Morelli, Giorgio E. M. Melloni, Laura Riva, Bruno Amati, Mattia Pelizzola
INSPEcT: a computational tool to infer mRNA synthesis, processing and degradation dynamics from RNA- and 4sU-seq time course experiments. Bioinform. 31 (17) (2015)
Kamal Kishore, Stefano de Pretis, Ryan Lister, Marco J. Morelli, Valerio Bianchi, Bruno Amati, Joseph R. Ecker, Mattia Pelizzola
methylPipe and compEpiTools: a suite of R packages for the integrative analysis of epigenomics data. BMC Bioinform. 16 (2015)
Marco J. Morelli, Gaël Thébaud, Joël Chadoeuf, Donald P. King, Daniel T. Haydon, Samuel Soubeyrand
A Bayesian Inference Framework to Reconstruct Transmission Trees Using Epidemiological and Genetic Data. PLoS Comput. Biol. 8 (11) (2012)