GenomicsNucleic Acids ResearchPeer-reviewed
Predictive model of transcriptional elongation control identifies trans regulatory factors from chromatin signatures
Toray S. Akcan, Сергей Андреевич Вилов, Matthias Heinig
The paper develops a machine learning model to predict promoter proximal Pol II pausing using chromatin and transcriptome data, identifies novel regulators, and quantifies their effects on gene regulation.