A novel ensemble learning method for de novo computational identification of DNA binding sites.

ABSTRACT:

Background

Despite the diversity of motif representations and search algorithms, the de novo computational identification of transcription factor binding sites remains constrained by the limited accuracy of existing algorithms and the need for user-specified input parameters that describe the motif being sought.

Results

We present a novel ensemble learning method, SCOPE, that is based on the assumption that transcription factor binding sites belong to one of three broad classes of motifs: non-degenerate, degenerate and gapped motifs. SCOPE employs a unified scoring metric to combine the results from three motif finding algorithms each aimed at the discovery of one of these classes of motifs. We found that SCOPE's performance on 78 experimentally characterized regulons from f

SUBMITTER: Chakravarty A 

PROVIDER: S-EPMC1950314 | biostudies-literature | 2007 Jul

REPOSITORIES: biostudies-literature