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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Veröffentlicht in:	BMC research notes Jg. 4; H. 1; S. 288
Hauptverfasser:	Hoang, Stephen A, Xu, Xiaojiang, Bekiranov, Stefan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 11.08.2011 BioMed Central Ltd BMC
Schlagworte:	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
Online-Zugang:	Volltext
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