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 |