Papers: 10.1186/s12864-017-4423-x
https://doi.org/10.1186/s12864-017-4423-x
Integration of multiple networks and pathways identifies cancer driver genes in pan-cancer analysis
Cited by: 31
Author(s): Claudia Cava, Gloria Bertoli, Antonio Colaprico, Catharina Olsen, Gianluca Bontempi, Isabella Castiglioni
Published: over 7 years ago
Software Mentions 12
bioconductor: DriverNet
Drivernet: uncovering somatic driver mutations modulating transcriptional networks in cancerPapers that mentioned: 41
Very Likely Science (100)
bioconductor: EDASeq
Exploratory Data Analysis and Normalization for RNA-SeqPapers that mentioned: 61
Very Likely Science (100)
Very Likely Science (98)
bioconductor: KEGGREST
Client-side REST access to the Kyoto Encyclopedia of Genes and Genomes (KEGG)Papers that mentioned: 75
Very Likely Science (90)
bioconductor: MoonlightR
Identify oncogenes and tumor suppressor genes from omics dataPapers that mentioned: 2
Very Likely Science (100)
bioconductor: SpidermiR
SpidermiR: An R/Bioconductor package for integrative network analysis with miRNA dataPapers that mentioned: 13
Very Likely Science (100)
Very Likely Science (90)
bioconductor: TCGAbiolinks
TCGAbiolinks: An R/Bioconductor package for integrative analysis with GDC dataPapers that mentioned: 276
Very Likely Science (100)
cran: ActiveDriver
Finding Cancer Driver Proteins with Enriched Mutations in Post-Translational Modification SitesPapers that mentioned: 29
Very Likely Science (75)
Very Likely Science (93)
Very Likely Science (75)
Very Likely Science (65)