Resultados de búsqueda - Shao‐Wu Zhang

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  1. 1
    Prediction of Protein–Protein Interaction with Pairwise Kernel Support Vector Machine

    Prediction of Protein–Protein Interaction with Pairwise Kernel Support Vector Machine por Shao‐Wu Zhang, Liyang Hao, Tinghe Zhang

    Publicado 2014
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  2. 2
    A Comparison of Methods for Clustering 16S rRNA Sequences into OTUs

    A Comparison of Methods for Clustering 16S rRNA Sequences into OTUs por Wei Chen, Hu Zhang, Yongmei Cheng, Shao‐Wu Zhang, Hongyu Zhao

    Publicado 2013
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  3. 3
    A novel algorithm for calling mRNA m 6 A peaks by modeling biological variances in MeRIP-seq data

    A novel algorithm for calling mRNA m 6 A peaks by modeling biological variances in MeRIP-seq data por Xiaodong Cui, Jia Meng, Shao‐Wu Zhang, Yidong Chen, Yufei Huang

    Publicado 2016
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  4. 4
    m6A-Driver: Identifying Context-Specific mRNA m6A Methylation-Driven Gene Interaction Networks

    m6A-Driver: Identifying Context-Specific mRNA m6A Methylation-Driven Gene Interaction Networks por Song-Yao Zhang, Shao‐Wu Zhang, Lian Liu, Jia Meng, Yufei Huang

    Publicado 2016
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  5. 5
    Inference of Gene Regulatory Network Based on Local Bayesian Networks

    Inference of Gene Regulatory Network Based on Local Bayesian Networks por Fei Liu, Shao‐Wu Zhang, Wei-Feng Guo, Ze‐Gang Wei, Luonan Chen

    Publicado 2016
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  6. 6
    Prediction of lncRNA-disease associations by integrating diverse heterogeneous information sources with RWR algorithm and positive pointwise mutual information

    Prediction of lncRNA-disease associations by integrating diverse heterogeneous information sources with RWR algorithm and positive pointwise mutual information por Xiao-Nan Fan, Shao‐Wu Zhang, Song-Yao Zhang, Kunju Zhu, Songjian Lu

    Publicado 2019
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  7. 7
    Diagnosis of Alzheimer’s disease by joining dual attention CNN and MLP based on structural MRIs, clinical and genetic data

    Diagnosis of Alzheimer’s disease by joining dual attention CNN and MLP based on structural MRIs, clinical and genetic data por Yan-Rui Qiang, Shao‐Wu Zhang, Jiani Li, Yan Li, Qin-Yi Zhou

    Publicado 2023
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  8. 8
    A novel network control model for identifying personalized driver genes in cancer

    A novel network control model for identifying personalized driver genes in cancer por Wei-Feng Guo, Shao‐Wu Zhang, Tao Zeng, Yan Li, Jianxi Gao, Luonan Chen

    Publicado 2019
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  9. 9
    <i>m6A-express</i>: uncovering complex and condition-specific m6A regulation of gene expression

    <i>m6A-express</i>: uncovering complex and condition-specific m6A regulation of gene expression por Teng Zhang, Shao‐Wu Zhang, Song-Yao Zhang, Shou‐Jiang Gao, Yidong Chen, Yufei Huang

    Publicado 2021
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  10. 10
    Guitar: An R/Bioconductor Package for Gene Annotation Guided Transcriptomic Analysis of RNA-Related Genomic Features

    Guitar: An R/Bioconductor Package for Gene Annotation Guided Transcriptomic Analysis of RNA-Related Genomic Features por Xiaodong Cui, Zhen Wei, Lin Zhang, Hui Liu, Lei Sun, Shao‐Wu Zhang, Yufei Huang, Jia Meng

    Publicado 2016
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  11. 11
    Global analysis of N6-methyladenosine functions and its disease association using deep learning and network-based methods

    Global analysis of N6-methyladenosine functions and its disease association using deep learning and network-based methods por Song-Yao Zhang, Shao‐Wu Zhang, Xiao-Nan Fan, Jia Meng, Yidong Chen, Shou‐Jiang Gao, Yufei Huang

    Publicado 2019
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  12. 12
    A protocol for RNA methylation differential analysis with MeRIP-Seq data and exomePeak R/Bioconductor package

    A protocol for RNA methylation differential analysis with MeRIP-Seq data and exomePeak R/Bioconductor package por Jia Meng, Zhi-Liang Lu, Hui Liu, Lin Zhang, Shao‐Wu Zhang, Yidong Chen, Manjeet K. Rao, Yufei Huang

    Publicado 2014
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  13. 13
    Discovering personalized driver mutation profiles of single samples in cancer by network control strategy

    Discovering personalized driver mutation profiles of single samples in cancer by network control strategy por Wei-Feng Guo, Shao‐Wu Zhang, Lili Liu, Fei Liu, Qianqian Shi, Lei Zhang, Ying Zhong Tang, Tao Zeng, Luonan Chen

    Publicado 2018
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  14. 14
    MeT-DB V2.0: elucidating context-specific functions of N6-methyl-adenosine methyltranscriptome

    MeT-DB V2.0: elucidating context-specific functions of N6-methyl-adenosine methyltranscriptome por Hui Liu, Huaizhi Wang, Zhen Wei, Songyao Zhang, Gang Hua, Shao‐Wu Zhang, Lin Zhang, Shou‐Jiang Gao, Jia Meng, Xing Chen, Yufei Huang

    Publicado 2017
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  15. 15
    Viral and cellular N6-methyladenosine and N6,2′-O-dimethyladenosine epitranscriptomes in the KSHV life cycle

    Viral and cellular N6-methyladenosine and N6,2′-O-dimethyladenosine epitranscriptomes in the KSHV life cycle por Brandon Tan, Hui Liu, Songyao Zhang, Suzane Ramos da Silva, Lin Zhang, Jia Meng, Xiaodong Cui, Hongfeng Yuan, Océane Sorel, Shao‐Wu Zhang, Yufei Huang, Shou‐Jiang Gao

    Publicado 2017
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  16. 16
    Bioinformatics approaches for deciphering the epitranscriptome: Recent progress and emerging topics

    Bioinformatics approaches for deciphering the epitranscriptome: Recent progress and emerging topics por Lian Liu, Bowen Song, Jiani Ma, Yi Song, Song-Yao Zhang, Yujiao Tang, Xiangyu Wu, Zhen Wei, Kunqi Chen, Jionglong Su, Rong Rong, Zhi-Liang Lu, João Pedro de Magalhães, Daniel J. Rigden, Lin Zhang, Shao‐Wu Zhang, Yufei Huang, Xiujuan Lei, Hui Liu, Jia Meng

    Publicado 2020
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