000 01327 a2200337 4500
005 20250516143357.0
264 0 _c20131105
008 201311s 0 0 eng d
022 _a1367-4811
024 7 _a10.1093/bioinformatics/btt152
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aJiang, Bo
245 0 0 _aBayesian hierarchical model of protein-binding microarray k-mer data reduces noise and identifies transcription factor subclasses and preferred k-mers.
_h[electronic resource]
260 _bBioinformatics (Oxford, England)
_cJun 2013
300 _a1390-8 p.
_bdigital
500 _aPublication Type: Journal Article; Research Support, N.I.H., Extramural
650 0 4 _aAnalysis of Variance
650 0 4 _aArtifacts
650 0 4 _aBayes Theorem
650 0 4 _aBinding Sites
650 0 4 _aChromatin Immunoprecipitation
650 0 4 _aDNA-Binding Proteins
_xclassification
650 0 4 _aOligonucleotide Array Sequence Analysis
_xmethods
650 0 4 _aRegulatory Elements, Transcriptional
650 0 4 _aSoftware
650 0 4 _aTranscription Factors
_xclassification
700 1 _aLiu, Jun S
700 1 _aBulyk, Martha L
773 0 _tBioinformatics (Oxford, England)
_gvol. 29
_gno. 11
_gp. 1390-8
856 4 0 _uhttps://doi.org/10.1093/bioinformatics/btt152
_zAvailable from publisher's website
999 _c22643995
_d22643995