Abundance of connected motifs in transcriptional networks, a case study using random forests regression.
Khajamoinuddin SyedBhanu K. KamapantulaMichael L. MayoEdward J. PerkinsPreetam GhoshPublished in: BICT (2015)
Keyphrases
- random forests
- regression problems
- regression trees
- random forest
- regression forests
- tree ensembles
- classification and regression trees
- decision trees
- logistic regression
- machine learning algorithms
- ensemble methods
- binding sites
- motif discovery
- regression model
- base learners
- biological networks
- dna sequences
- conformal prediction
- gene regulatory networks
- transcription factors
- randomized trees
- support vector
- genome wide
- complex networks
- regulatory networks
- gene regulation
- decision tree ensembles
- data sets
- high throughput
- regression methods
- genetic programming
- face recognition