A probabilistic approach for automated discovery of perturbed genes using expression data from microarray or RNA-Seq.
Gopinath SundaramurthyHamid R. EghbalniaPublished in: Comput. Biol. Medicine (2015)
Keyphrases
- microarray
- rna seq
- automated discovery
- high throughput
- gene expression
- gene expression data
- microarray data
- biological data
- genome wide
- gene expression profiling
- gene selection
- gene ontology
- gene expression profiles
- gene expression data sets
- high dimensionality
- gene expression analysis
- gene networks
- gene gene
- dna microarray
- microarray data analysis
- systems biology
- differentially expressed genes
- experimental conditions
- gene expression datasets
- knowledge discovery
- gene regulation
- cancer classification
- yeast cell cycle
- molecular biology
- biological processes
- gene expression levels
- colon cancer
- regulatory networks
- binding sites
- alternative splicing
- biological networks
- high throughput sequencing
- protein protein interactions
- analysis of gene expression
- genomic data
- microarray technology
- microarray datasets
- cancer diagnosis
- microarray images