Discovering monotonic stemness marker genes from time-series stem cell microarray data.
Hsei-Wei WangHsing-Jen SunTing-Yu ChangHung-Hao LoWei-Chung ChengGeorge C. TsengChin-Teng LinShing-Jyh ChangNikhil R. PalI-Fang ChungPublished in: BMC Genom. (2015)
Keyphrases
- microarray data
- stem cell
- gene selection
- microarray
- gene expression
- differentially expressed genes
- microarray data analysis
- microarray gene expression data
- gene expression data
- informative genes
- meta analysis
- data sets
- feature selection
- cancer classification
- biological data
- microarray datasets
- cluster analysis
- microarray technology
- gene expression profiles
- high dimensional
- gene clusters
- relevant genes
- analysis of gene expression
- saccharomyces cerevisiae
- gene networks
- dna microarray data
- selected genes
- gene sets
- small number of samples
- yeast cell cycle
- high throughput
- biologically relevant
- dna microarray
- biologically significant
- regulatory networks
- colon cancer
- feature ranking