UNDO: a Bioconductor R package for unsupervised deconvolution of mixed gene expressions in tumor samples.
Niya WangTing GongRobert ClarkeLulu ChenIe-Ming ShihZhen ZhangDouglas A. LevineJianhua XuanYue Joseph WangPublished in: Bioinform. (2015)
Keyphrases
- gene expression
- tissue samples
- microarray
- gene expression data
- dna microarray
- microarray data
- microarray datasets
- gene expression profiles
- cancer diagnosis
- high throughput
- regulatory networks
- biological processes
- semi supervised
- high dimensionality
- gene expression analysis
- gene selection
- gene expression patterns
- data sets
- microarray technology
- unsupervised learning
- experimental conditions
- ovarian cancer
- breast cancer
- cancer classification
- differentially expressed genes
- molecular biology
- feature selection
- protein interaction
- gene ontology
- gene regulatory networks
- biological data
- supervised learning
- biological networks