Abundance of connected motifs in transcriptional networks, a case study using random forests regression.
Khajamoinuddin SyedBhanu K. KamapantulaMichael L. MayoEdward J. PerkinsPreetam GhoshPublished in: EAI Endorsed Trans. Mob. Commun. Appl. (2016)
Keyphrases
- random forests
- regression problems
- regression forests
- regression trees
- random forest
- classification and regression trees
- tree ensembles
- ensemble methods
- decision trees
- logistic regression
- binding sites
- machine learning algorithms
- motif discovery
- base learners
- decision tree ensembles
- biological networks
- dna sequences
- regulatory networks
- gene regulatory networks
- transcription factors
- complex networks
- randomized trees
- data sets
- head pose estimation
- regression model
- conformal prediction
- similarity measure
- ridge regression
- gene regulation
- learning algorithm