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

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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Bibliographic Details
Main Authors: Erten, C. (Author), Houdjedj, A. (Author), Kazan, H. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
adult
Anomaly detection
article
betweenness centrality
Betweenness centrality
Bipartite graph
Bipartite graphs
breast
Computational approach
diffusion
Diseases
Driver gene prioritization
gene regulatory network
Gene Regulatory Networks
Genes
genetics
genomics
Genomics
human
Humans
lung
Multiple references
neoplasm
Neoplasms
Network diffusion
oncogene
Oncogenes
outlier detection
Patient specific
protein analysis
Protein Interaction Maps
protein protein interaction
Protein-protein interaction networks
Proteins
Random processes
random walk
Random walk process
reference database
State of the art
Statistics
tumor gene
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