Combining transcription factor binding affinities with open-chromatin data for accurate gene expression prediction

The binding and contribution of transcription factors (TF) to cell specific gene expression is often deduced from open-chromatin measurements to avoid costly TF ChIP-seq assays. Thus, it is important to develop computational methods for accurate TF binding prediction in open-chromatin regions (OCRs)...

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書誌詳細
出版年:Nucleic Acids Res
主要な著者: Schmidt, Florian, Gasparoni, Nina, Gasparoni, Gilles, Gianmoena, Kathrin, Cadenas, Cristina, Polansky, Julia K., Ebert, Peter, Nordström, Karl, Barann, Matthias, Sinha, Anupam, Fröhler, Sebastian, Xiong, Jieyi, Dehghani Amirabad, Azim, Behjati Ardakani, Fatemeh, Hutter, Barbara, Zipprich, Gideon, Felder, Bärbel, Eils, Jürgen, Brors, Benedikt, Chen, Wei, Hengstler, Jan G., Hamann, Alf, Lengauer, Thomas, Rosenstiel, Philip, Walter, Jörn, Schulz, Marcel H.
フォーマット: Artigo
言語:Inglês
出版事項: Oxford University Press 2017
主題:
Computational Biology
オンライン･アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC5224477/
https://ncbi.nlm.nih.gov/pubmed/27899623
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/nar/gkw1061
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