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Ranking cancer drivers via betweenness-based outlier detection and random walks

BACKGROUND: Recent cancer genomic studies have generated detailed molecular data on a large number of cancer patients. A key remaining problem in cancer genomics is the identification of driver genes. RESULTS: We propose BetweenNet, a computational approach that integrates genomic data with a protei...

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Detalhes bibliográficos
Publicado no:BMC Bioinformatics
Main Authors: Erten, Cesim, Houdjedj, Aissa, Kazan, Hilal
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2021
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7877041/
https://ncbi.nlm.nih.gov/pubmed/33568049
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-021-03989-w
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