Combining optimization and machine learning techniques for genome-wide prediction of human cell cycle-regulated genes.
Marianna De SantisFrancesco RinaldiEmmanuela FalconeStefano LucidiGiulia PiaggioAymone GurtnerLorenzo FarinaPublished in: Bioinform. (2014)
Keyphrases
- cell cycle
- genome wide
- expression profiles
- high throughput
- systems biology
- transcription factors
- protein protein interactions
- protein interaction
- microarray
- gene expression
- biological processes
- saccharomyces cerevisiae
- single nucleotide polymorphisms
- gene networks
- biological data
- gene expression profiles
- machine learning
- gene ontology
- experimental conditions
- genomic data
- human genome
- regulatory networks
- gene regulation
- linkage disequilibrium
- functional modules
- gene sets
- gene expression data
- data acquisition
- molecular biology
- machine learning methods
- complex diseases
- binding sites
- signaling pathways
- low cost