A non‐parametric model for transcription factor binding sites

We introduce a non‐parametric representation of transcription factor binding sites which can model arbitrary dependencies between positions. As two parameters are varied, this representation smoothly interpolates between the empirical distribution of binding sites and the standard position‐specific...

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Veröffentlicht in:	Nucleic acids research 2003-10, Vol.31 (19), p.e116-e116
Hauptverfasser:	King, Oliver D., Roth, Frederick P.
Format:	Artikel
Sprache:	eng
Schlagworte:	Base Sequence Binding Sites Humans Models, Statistical NAR Methods Online Sequence Analysis, DNA - methods Statistics, Nonparametric Transcription Factors - metabolism TRANSFAC
Online-Zugang:	Volltext
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