High-throughput toxicological classification of candidate drug compounds using gene expression, evolved neural networks, and a cell-based platform.
Gordon VansantPat PezzoliJoseph MonforteGary B. FogelPublished in: IEEE Congress on Evolutionary Computation (2011)
Keyphrases
- high throughput
- microarray
- gene expression
- microarray gene
- analysis of gene expression
- high dimensionality
- gene expression profiles
- gene expression data
- cancer classification
- microarray data analysis
- gene expression analysis
- systems biology
- microarray data
- genomic data
- gene expression levels
- genome wide
- expression patterns
- dna microarray
- microarray datasets
- drug discovery
- cancer diagnosis
- biological data
- microarray technology
- gene regulation
- gene selection
- biological networks
- biological knowledge
- experimental conditions
- biological processes
- gene expression patterns
- molecular biology
- transcription factors
- feature selection
- gene ontology
- protein protein interactions
- machine learning
- rna seq
- real time
- cell cycle
- binding sites
- biologically inspired
- data acquisition
- gene regulatory networks
- high dimensional
- protein interaction