Searching for transcription factor binding sites in vector spaces.

ABSTRACT:

Background

Computational approaches to transcription factor binding site identification have been actively researched in the past decade. Learning from known binding sites, new binding sites of a transcription factor in unannotated sequences can be identified. A number of search methods have been introduced over the years. However, one can rarely find one single method that performs the best on all the transcription factors. Instead, to identify the best method for a particular transcription factor, one usually has to compare a handful of methods. Hence, it is highly desirable for a method to perform automatic optimization for individual transcription factors.

Results

We proposed to search for transcription factor binding sites in vector spaces. This framework allows us to i

SUBMITTER: Lee C 

PROVIDER: S-EPMC3543194 | biostudies-literature | 2012 Aug

REPOSITORIES: biostudies-literature