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Genome wide prediction of HNF4α functional binding sites by the use of local and global sequence context
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
doi:10.1186/gb-2008-9-2-r36
pmid:18291023
pmcid:PMC2374721
fatcat:2xp4hp36pbbkfl7qma47ihwvpe