Boosting gene expression clustering with system-wide biological information: a robust autoencoder approach.
Hongzhu CuiChong ZhouXinyu DaiYuting LiangRandy C. PaffenrothDmitry KorkinPublished in: Int. J. Comput. Biol. Drug Des. (2020)
Keyphrases
- gene expression
- gene expression data
- biological information
- biological processes
- microarray
- microarray data analysis
- microarray data
- gene expression profiles
- gene ontology
- high dimensionality
- high throughput
- clustering method
- biological data
- clustering algorithm
- feature selection
- regulatory networks
- systems biology
- cluster analysis
- molecular biology
- gene regulatory networks
- biological networks
- high dimensional data
- k means
- information theoretic
- computational biology
- gene selection
- biological knowledge
- data sets
- data mining
- binding sites
- public databases
- data integration
- machine learning
- functional modules
- high dimensional
- text mining
- databases