Peculiar Genes Selection: A new features selection method to improve classification performances in imbalanced data sets

Por Martina, Federica, Beccuti, Marco, Balbo, Gianfranco, Cordero, Francesca
Publicado no PLoS One (2017)

Optimizing a Massive Parallel Sequencing Workflow for Quantitative miRNA Expression Analysis

Por Cordero, Francesca, Beccuti, Marco, Arigoni, Maddalena, Donatelli, Susanna, Calogero, Raffaele A.
Publicado em 2012

Dissecting the genomic activity of a transcriptional regulator by the integrative analysis of omics data

Por Ferrero, Giulio, Miano, Valentina, Beccuti, Marco, Balbo, Gianfranco, De Bortoli, Michele, Cordero, Francesca
Publicado no Sci Rep (2017)

State-of-the-Art Fusion-Finder Algorithms Sensitivity and Specificity

Por Carrara, Matteo, Beccuti, Marco, Lazzarato, Fulvio, Cavallo, Federica, Cordero, Francesca, Donatelli, Susanna, Calogero, Raffaele A.
Publicado em 2013

State of art fusion-finder algorithms are suitable to detect transcription-induced chimeras in normal tissues?

Por Carrara, Matteo, Beccuti, Marco, Cavallo, Federica, Donatelli, Susanna, Lazzarato, Fulvio, Cordero, Francesca, Calogero, Raffaele A
Publicado em 2013

Multi-level model for the investigation of oncoantigen-driven vaccination effect

Por Cordero, Francesca, Beccuti, Marco, Fornari, Chiara, Lanzardo, Stefania, Conti, Laura, Cavallo, Federica, Balbo, Gianfranco, Calogero, Raffaele
Publicado em 2013

SeqBox: RNAseq/ChIPseq reproducible analysis on a consumer game computer

Por Beccuti, Marco, Cordero, Francesca, Arigoni, Maddalena, Panero, Riccardo, Amparore, Elvio G, Donatelli, Susanna, Calogero, Raffaele A
Publicado no Bioinformatics (2018)

A Mathematical-Biological Joint Effort to Investigate the Tumor-Initiating Ability of Cancer Stem Cells

Por Fornari, Chiara, Beccuti, Marco, Lanzardo, Stefania, Conti, Laura, Balbo, Gianfranco, Cavallo, Federica, Calogero, Raffaele A., Cordero, Francesca
Publicado em 2014

Chimera: a Bioconductor package for secondary analysis of fusion products

Por Beccuti, Marco, Carrara, Matteo, Cordero, Francesca, Lazzarato, Fulvio, Donatelli, Susanna, Nadalin, Francesca, Policriti, Alberto, Calogero, Raffaele A.
Publicado no Bioinformatics (2014)

Alternative splicing detection workflow needs a careful combination of sample prep and bioinformatics analysis

Por Carrara, Matteo, Lum, Josephine, Cordero, Francesca, Beccuti, Marco, Poidinger, Michael, Donatelli, Susanna, Calogero, Raffaele Adolfo, Zolezzi, Francesca
Publicado no BMC Bioinformatics (2015)

A computational framework for modeling and studying pertussis epidemiology and vaccination

Por Castagno, Paolo, Pernice, Simone, Ghetti, Gianni, Povero, Massimiliano, Pradelli, Lorenzo, Paolotti, Daniela, Balbo, Gianfranco, Sereno, Matteo, Beccuti, Marco
Publicado no BMC Bioinformatics (2020)

Reproducible bioinformatics project: a community for reproducible bioinformatics analysis pipelines

Por Kulkarni, Neha, Alessandrì, Luca, Panero, Riccardo, Arigoni, Maddalena, Olivero, Martina, Ferrero, Giulio, Cordero, Francesca, Beccuti, Marco, Calogero, Raffaele A.
Publicado no BMC Bioinformatics (2018)

Impacts of reopening strategies for COVID-19 epidemic: a modeling study in Piedmont region

Por Pernice, Simone, Castagno, Paolo, Marcotulli, Linda, Maule, Milena Maria, Richiardi, Lorenzo, Moirano, Giovenale, Sereno, Matteo, Cordero, Francesca, Beccuti, Marco
Publicado no BMC Infect Dis (2020)

A versatile mathematical work-flow to explore how Cancer Stem Cell fate influences tumor progression

Por Fornari, Chiara, Balbo, Gianfranco, Halawani, Sami M, Ba-Rukab, Omar, Ahmad, Ab Rahman, Calogero, Raffaele A, Cordero, Francesca, Beccuti, Marco
Publicado no BMC Syst Biol (2015)

HashClone: a new tool to quantify the minimal residual disease in B-cell lymphoma from deep sequencing data

Por Beccuti, Marco, Genuardi, Elisa, Romano, Greta, Monitillo, Luigia, Barbero, Daniela, Boccadoro, Mario, Ladetto, Marco, Calogero, Raffaele, Ferrero, Simone, Cordero, Francesca
Publicado no BMC Bioinformatics (2017)

Computational modeling of the immune response in multiple sclerosis using epimod framework

Por Pernice, Simone, Follia, Laura, Maglione, Alessandro, Pennisi, Marzio, Pappalardo, Francesco, Novelli, Francesco, Clerico, Marinella, Beccuti, Marco, Cordero, Francesca, Rolla, Simona
Publicado no BMC Bioinformatics (2020)

Sparsely-connected autoencoder (SCA) for single cell RNAseq data mining

Por Alessandri, Luca, Cordero, Francesca, Beccuti, Marco, Licheri, Nicola, Arigoni, Maddalena, Olivero, Martina, Di Renzo, Maria Flavia, Sapino, Anna, Calogero, Raffaele
Publicado no NPJ Syst Biol Appl (2021)

A computational approach based on the colored Petri net formalism for studying multiple sclerosis

Por Pernice, Simone, Pennisi, Marzio, Romano, Greta, Maglione, Alessandro, Cutrupi, Santina, Pappalardo, Francesco, Balbo, Gianfranco, Beccuti, Marco, Cordero, Francesca, Calogero, Raffaele A.
Publicado no BMC Bioinformatics (2019)

Docker4Circ: A Framework for the Reproducible Characterization of circRNAs from RNA-Seq Data

Por Ferrero, Giulio, Licheri, Nicola, Coscujuela Tarrero, Lucia, De Intinis, Carlo, Miano, Valentina, Calogero, Raffaele Adolfo, Cordero, Francesca, De Bortoli, Michele, Beccuti, Marco
Publicado no Int J Mol Sci (2019)

rCASC: reproducible classification analysis of single-cell sequencing data

Por Alessandrì, Luca, Cordero, Francesca, Beccuti, Marco, Arigoni, Maddalena, Olivero, Martina, Romano, Greta, Rabellino, Sergio, Licheri, Nicola, De Libero, Gennaro, Pace, Luigia, Calogero, Raffaele A
Publicado no Gigascience (2019)