Marco J. Morelli

According to our database, Marco J. Morelli authored at least 9 papers between 2012 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

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

2018

Modeling Gene Transcriptional Regulation by Means of Hyperplanes Genetic Clustering.

Fabrizio Frasca, Matteo Matteucci, Marco Masseroli, Marco J. Morelli

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Exposing and Characterizing Subpopulations of Distinctly Regulated Genes by K-Plane Regression.

Fabrizio Frasca, Matteo Matteucci, Marco J. Morelli, Marco Masseroli

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018

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

MuSERA: Multiple Sample Enriched Region Assessment.

Vahid Jalili, Matteo Matteucci, Marco J. Morelli, Marco Masseroli

Briefings Bioinform., 2017

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

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

Using combined evidence from replicates to evaluate ChIP-seq peaks.

Vahid Jalili, Matteo Matteucci, Marco Masseroli, Marco J. Morelli

Bioinform., 2015

2012

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