%0 Journal Article %1 noauthororeditor %A Klein, Hans-Ulrich %A Schäfer, Martin %A Porse, Bo T %A Hasemann, Marie S %A Ickstadt, Katja %A Dugas, Martin %D 2014 %J Bioinformatics %K 4 cancer chip-seq clustering epigenetics histones rna-seq %N 8 %P 1154-1162 %R 10.1093/bioinformatics/btu003 %T Integrative analysis of histone ChIP-seq and transcription data using Bayesian mixture models %V 30

@article{noauthororeditor, added-at = {2017-10-02T23:07:49.000+0200}, author = {Klein, Hans-Ulrich and Schäfer, Martin and Porse, Bo T and Hasemann, Marie S and Ickstadt, Katja and Dugas, Martin}, biburl = {https://www.bibsonomy.org/bibtex/2131dd3cefaf06b4f2cad7856c9c1d1bf/artheibault}, description = {This article attempts to analyze histone modifications in a number of datasets using integrated mixture models. The mixture models employ a combination of microarray data, RNA-seq data and ChIP-seq data to illustrate how histone modifications impact gene transcription and phenotype. In so doing, they demonstrate the superior sensitivity of mixture models compared to separate analyses of genetic data types.}, doi = {10.1093/bioinformatics/btu003}, interhash = {e99ab0b412d2cf9ffa04fdd2a61cdadd}, intrahash = {131dd3cefaf06b4f2cad7856c9c1d1bf}, journal = {Bioinformatics}, keywords = {4 cancer chip-seq clustering epigenetics histones rna-seq}, month = jan, number = 8, pages = {1154-1162}, timestamp = {2017-10-04T04:39:09.000+0200}, title = {Integrative analysis of histone ChIP-seq and transcription data using Bayesian mixture models}, volume = 30, year = 2014 }