Bayesian Markov models consistently outperform PWMs at predicting motifs in nucleotide sequences
Matthias Siebert, Johannes Soeding
This paper introduces Bayesian Markov models (BMMs) for motif discovery, showing they outperform PWMs in predicting regulatory motifs across multiple datasets.
bioRxiv · Apr 8, 2016Bioinformatics