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Biomed Research International|August 5, 2015
Integrative Analysis with Monte Carlo Cross-Validation Reveals miRNAs Regulating Pathways Cross-Talk in Aggressive Breast CancerAntonio Colaprico, Claudia Cava, Gloria Bertoli, et al.
International Journal of Molecular Sciences|March 23, 2018
In-Silico Integration Approach to Identify a Key miRNA Regulating a Gene Network in Aggressive Prostate CancerClaudia Cava, Gloria Bertoli, Antonio Colaprico, et al.
BMC Bioinformatics|February 11, 2017
How interacting pathways are regulated by miRNAs in breast cancer subtypesClaudia Cava, Antonio Colaprico, Gloria Bertoli, et al.
BMC Genomics|January 7, 2018
Integration of multiple networks and pathways identifies cancer driver genes in pan-cancer analysisClaudia Cava, Gloria Bertoli, Antonio Colaprico, et al.
Frontiers in Genetics|January 10, 2022
PathwayMultiomics: An R Package for Efficient Integrative Analysis of Multi-Omics Datasets With Matched or Un-matched SamplesGabriel J Odom, Antonio Colaprico, Tiago C Silva, et al.
F1000Research|March 1, 2017
TCGA Workflow: Analyze cancer genomics and epigenomics data using Bioconductor packagesTiago C Silva, Antonio Colaprico, Catharina Olsen, et al.
Briefings in Bioinformatics|August 8, 2023
A workflow to study mechanistic indicators for driver gene prediction with MoonlightMona Nourbakhsh, Astrid Saksager, Nikola Tom, et al.
Plos Computational Biology|March 6, 2019
New functionalities in the TCGAbiolinks package for the study and integration of cancer data from GDC and GTExMohamed Mounir, Marta Lucchetta, Tiago C Silva, et al.
Bioinformatics (Oxford, England)|June 13, 2017
CancerSubtypes: an R/Bioconductor package for molecular cancer subtype identification, validation and visualizationTaosheng Xu, Thuc Duy Le, Lin Liu, et al.
International Journal of Molecular Sciences|January 31, 2017
SpidermiR: An R/Bioconductor Package for Integrative Analysis with miRNA DataClaudia Cava, Antonio Colaprico, Gloria Bertoli, et al.
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