Genome wide prediction of HNF4α functional binding sites by the use of local and global sequence context

Alexander E Kel, Monika Niehof, Volker Matys, Rüdiger Zemlin, Jürgen Borlak
2008 Genome Biology  
We report an application of machine learning algorithms that enables prediction of the functional context of transcription factor binding sites in the human genome. We demonstrate that our method allowed de novo identification of hepatic nuclear factor (HNF)4α binding sites and significantly improved an overall recognition of faithful HNF4α targets. When applied to published findings, an unprecedented high number of false positives were identified. The technique can be applied to any
more » ... on factor. The electronic version of this article is the complete one and can be found online at Genome Biology 2008, 9:R36 Genome Biology 2008, Volume 9, Issue 2, Article R36 Kel et al. R36.2
doi:10.1186/gb-2008-9-2-r36 pmid:18291023 pmcid:PMC2374721 fatcat:2xp4hp36pbbkfl7qma47ihwvpe