Co-clustering of diseases, genes, and drugs for identification of their related gene modules.
Arezou KoohiHouman HomayounJie XuMahdi OroojiPublished in: ICACI (2016)
Keyphrases
- related genes
- gene expression
- functional modules
- gene expression data
- microarray
- gene ontology
- gene expression analysis
- biologically meaningful
- gene function
- microarray datasets
- microarray gene expression data
- microarray expression data
- genomic data
- gene expression profiles
- gene regulatory networks
- complex diseases
- gene selection
- biological entities
- gene sets
- single nucleotide polymorphisms
- gene clusters
- escherichia coli
- gene networks
- saccharomyces cerevisiae
- differentially expressed genes
- disease genes
- candidate genes
- microarray gene
- information theoretic
- biomedical literature
- dna microarray data
- clustering algorithm
- microarray data
- genome scale
- comparative genomics
- gene expression patterns
- biological processes
- alternative splicing
- microarray data analysis
- biological networks
- regulatory networks
- cancer classification
- reverse engineering
- high throughput
- text mining
- gene expression datasets