Multiscale mutation clustering algorithm identifies pan-cancer mutational clusters associated with pathway-level changes in gene expression.
William PooleKalle LeinonenIlya ShmulevichTheo A. KnijnenburgBrady BernardPublished in: PLoS Comput. Biol. (2017)
Keyphrases
- gene expression
- clustering algorithm
- multiscale
- microarray
- gene expression profiles
- colon cancer
- gene selection
- dna microarray
- gene expression data
- regulatory networks
- gene expression data sets
- gene expression data analysis
- microarray data
- survival prediction
- cluster analysis
- clustering analysis
- microarray technology
- analysis of gene expression
- gene regulation
- cancer diagnosis
- hierarchical clustering
- clustering method
- gene expression patterns
- biological networks
- k means
- biological processes
- differential expression
- cancer classification
- fuzzy clustering
- data clustering
- document clustering
- image segmentation
- gene ontology
- cluster centers
- binding sites
- differentially expressed genes
- gene interactions
- gene expression microarray data
- microarray data analysis
- genomic data
- data points
- gene expression datasets
- gene expression analysis
- cluster ensemble
- transcription factors
- molecular biology
- high dimensionality