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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：180/0  |  提交时间：2021/04/26
Bioinformatics  machine learning  transcription factors binding sites  convolutional neural networks  DNA accessibility  histone modification  
Probe Efficient Feature Representation of Gapped K-mer Frequency Vectors from Sequences Using Deep Neural Networks 期刊论文
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2020, 卷号: 17, 期号: 2, 页码: 657-667
作者:  Cao, Zhen;  Zhang, Shihua
收藏  |  浏览/下载：201/0  |  提交时间：2020/05/24
DNA  Bioinformatics  Kernel  Feature extraction  Support vector machines  Genomics  Task analysis  Bioinformatics  machine learning  gapped k-mer  deep neural network  transcription factor binding site prediction  
Simple tricks of convolutional neural network architectures improve DNA-protein binding prediction 期刊论文
BIOINFORMATICS, 2019, 卷号: 35, 期号: 11, 页码: 1837-1843
作者:  Cao, Zhen;  Zhang, Shihua
收藏  |  浏览/下载：193/0  |  提交时间：2020/01/10
An integrative and comparative study of pan-cancer transcriptomes reveals distinct cancer common and specific signatures 期刊论文
SCIENTIFIC REPORTS, 2016, 卷号: 6, 页码: 13
作者:  Cao, Zhen;  Zhang, Shihua
收藏  |  浏览/下载：133/0  |  提交时间：2018/07/30