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An Integrative Framework for Combining Sequence and Epigenomic Data to Predict Transcription Factor Binding Sites Using Deep Learning 期刊论文
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2021, 卷号: 18, 期号: 1, 页码: 355-364
作者:  Jing, Fang;  Zhang, Shao-Wu;  Cao, Zhen;  Zhang, Shihua
收藏  |  浏览/下载：160/0  |  提交时间：2021/04/26
Bioinformatics  machine learning  transcription factors binding sites  convolutional neural networks  DNA accessibility  histone modification  
Reveal cell type-specific regulatory elements and their characterized histone code classes via a hidden Markov model 期刊论文
BMC GENOMICS, 2018, 卷号: 19, 页码: 13
作者:  Wang, Can;  Zhang, Shihua
收藏  |  浏览/下载：244/0  |  提交时间：2019/01/11
Epigenomics  Cell type-specific regulatory elements  Hidden Markov model  Histone modification  
Revealing transcription factor and histone modification co-localization and dynamics across cell lines by integrating ChIP-seq and RNA-seq data 期刊论文
BMC GENOMICS, 2018, 卷号: 19, 页码: 16
作者:  Zhang, Lirong;  Xue, Gaogao;  Liu, Junjie;  Li, Qianzhong;  Wang, Yong
收藏  |  浏览/下载：268/0  |  提交时间：2019/01/11
Transcription factor  Histone modification  Co-localization  Dynamics  
Revealing transcription factor and histone modification co-localization and dynamics across cell lines by integrating ChIP-seq and RNA-seq data 期刊论文
BMC GENOMICS, 2018, 卷号: 19
作者:  Zhang, Lirong;  Xue, Gaogao;  Liu, Junjie;  Li, Qianzhong;  Wang, Yong
收藏  |  浏览/下载：224/0  |  提交时间：2019/04/03
Large-scale determination and characterization of cell type-specific regulatory elements in the human genome 期刊论文
Journal of Molecular Cell Biology, 2017, 卷号: 9, 期号: 6, 页码: 463
作者:  Wang Can;  Zhang Shihua
收藏  |  浏览/下载：142/0  |  提交时间：2018/07/30