Gene Expression High-Dimensional Clustering Towards a Novel, Robust, Clinically Relevant and Highly Compact Cancer Signature.
Enzo BattistellaMaria VakalopoulouThéo EstienneMarvin LerousseauRoger SunCharlotte RobertNikos ParagiosEric DeutschPublished in: IWBBIO (1) (2019)
Keyphrases
- gene expression
- gene expression profiles
- gene expression data
- microarray data
- microarray
- gene expression data analysis
- clinically relevant
- gene selection
- high dimensional
- dna microarray
- gene expression analysis
- high dimensionality
- microarray gene
- gene expression data sets
- colon cancer
- microarray data analysis
- cancer classification
- cancer diagnosis
- survival prediction
- biological processes
- microarray technology
- gene expression patterns
- data points
- small sample size
- gene regulation
- clustering analysis
- low dimensional
- analysis of gene expression
- high throughput
- clustering algorithm
- cluster analysis
- high dimensional data
- regulatory networks
- genomic data
- biological networks
- clustering method
- k means
- dimensionality reduction
- gene interactions
- functional genomics
- cluster ensemble
- biclustering algorithms
- transcription factors
- information theoretic
- biological data
- self organizing maps
- differential expression
- differentially expressed genes
- tissue samples
- feature space
- protein protein interactions
- microarray datasets