Ontology highlight
ABSTRACT:
SUBMITTER: Guo H
PROVIDER: S-EPMC5026350 | biostudies-literature | 2016
REPOSITORIES: biostudies-literature
Guo Haitao H Huo Hongwei H Yu Qiang Q
PloS one 20160916 9
The discovery of cis-regulatory modules (CRMs) is a challenging problem in computational biology. Limited by the difficulty of using an HMM to model dependent features in transcriptional regulatory sequences (TRSs), the probabilistic modeling methods based on HMMs cannot accurately represent the distance between regulatory elements in TRSs and are cumbersome to model the prevailing dependencies between motifs within CRMs. We propose a probabilistic modeling algorithm called SMCis, which builds a ...[more]