Quantification of histone modification ChIP-seq enrichment for data mining and machine learning applications

Background The advent of ChIP-seq technology has made the investigation of epigenetic regulatory networks a computationally tractable problem. Several groups have applied statistical computing methods to ChIP-seq datasets to gain insight into the epigenetic regulation of transcription. However, meth...

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Vydané v:	BMC research notes Ročník 4; číslo 1; s. 288
Hlavní autori:	Hoang, Stephen A, Xu, Xiaojiang, Bekiranov, Stefan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London BioMed Central 11.08.2011 BioMed Central Ltd BMC
Predmet:	Biomedical and Life Sciences Biomedicine Data mining Genetic research Life Sciences Medicine/Public Health Methods Research Article Technology application Root Mean Square Deviation Transcription Start Site Multivariate Adaptive Regression Spline Model Multivariate Adaptive Regression Spline Enrichment Level
ISSN:	1756-0500, 1756-0500
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