Identifying cancer driver genes using a two-stage random walk with restart on a gene interaction network.
Ping MengGuohua WangHongzhe GuoTao JiangPublished in: Comput. Biol. Medicine (2023)
Keyphrases
- gene selection
- gene expression
- dna microarray
- gene expression profiles
- genetic networks
- gene expression data
- protein protein interaction networks
- gene networks
- microarray
- interaction networks
- microarray data
- candidate genes
- cancer classification
- gene regulatory networks
- gene expression datasets
- gene expression data sets
- gene ontology
- gene sets
- relevant genes
- microarray technology
- cancer diagnosis
- biologically meaningful
- gene ontology terms
- network model
- colon cancer
- protein interaction
- gene expression analysis
- gene expression patterns
- gene clusters
- microarray gene expression data
- regulatory networks
- escherichia coli
- expression profiles
- microarray datasets
- informative genes
- reverse engineering
- high throughput
- related genes
- biological processes
- saccharomyces cerevisiae
- biomedical literature
- biologically significant
- gene structure prediction
- differentially expressed genes
- cancer datasets
- genomic data
- gene products
- cell lines
- biological systems
- splice site
- differential expression
- protein complexes
- systems biology
- genomic sequences