GERV: A Statistical Method for Generative Evaluation of Regulatory Variants for Transcription Factor Binding
Haoyang Zeng, Tatsunori Hashimoto, Daniel D. Kang, David K. Gifford
GERV predicts regulatory variants affecting transcription factor binding by learning a k-mer based generative model from ChIP-seq and DNase-seq data, outperforming existing methods in SNP prediction.
Bioinformatics · Feb 15, 2016Peer-reviewedBioinformatics