Cancer subtype prediction from a pathway-level perspective by using a support vector machine based on integrated gene expression and protein network.
Fei-Hung HungHung-Wen ChiuPublished in: Comput. Methods Programs Biomed. (2017)
Keyphrases
- gene expression
- protein interaction
- regulatory networks
- microarray
- gene expression profiles
- dna microarray
- drosophila melanogaster
- gene selection
- gene expression data
- biological processes
- protein complexes
- colon cancer
- protein interaction networks
- gene expression data analysis
- protein protein interaction networks
- gene expression data sets
- microarray data
- functional modules
- dna binding
- gene regulation
- protein function
- gene regulatory networks
- network model
- biological networks
- interaction networks
- survival prediction
- analysis of gene expression
- cancer classification
- biological knowledge
- gene expression patterns
- cancer diagnosis
- saccharomyces cerevisiae
- protein interaction data
- binding sites
- regulatory elements
- protein protein interactions
- gene ontology
- gene interactions
- high throughput
- transcription factors
- network structure
- gene networks
- genomic data
- gene expression analysis
- signaling pathways
- gene expression microarray data
- drug design
- complex networks
- protein structure prediction
- microarray datasets
- computational methods
- systems biology