Hasil Pencarian - Shao-Wu Zhang

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  1. 1
    ncRPI-LGAT: Prediction of ncRNA-protein interactions with line graph attention network framework

    ncRPI-LGAT: Prediction of ncRNA-protein interactions with line graph attention network framework oleh Yong Han, Shao-Wu Zhang

    Diterbitkan 2023-01-01
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  2. 2
    NPBSS: a new PacBio sequencing simulator for generating the continuous long reads with an empirical model

    NPBSS: a new PacBio sequencing simulator for generating the continuous long reads with an empirical model oleh Ze-Gang Wei, Shao-Wu Zhang

    Diterbitkan 2018-05-01
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  3. 3
    Prediction of Drug-Drug Interaction Using an Attention-Based Graph Neural Network on Drug Molecular Graphs

    Prediction of Drug-Drug Interaction Using an Attention-Based Graph Neural Network on Drug Molecular Graphs oleh Yue-Hua Feng, Shao-Wu Zhang

    Diterbitkan 2022-05-01
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  4. 4
    Prediction of enhancer–promoter interactions using the cross-cell type information and domain adversarial neural network

    Prediction of enhancer–promoter interactions using the cross-cell type information and domain adversarial neural network oleh Fang Jing, Shao-Wu Zhang, Shihua Zhang

    Diterbitkan 2020-11-01
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  5. 5
    Improved Cholinergic Transmission is Detrimental to Behavioural Plasticity in Honeybees (Apis mellifera)

    Improved Cholinergic Transmission is Detrimental to Behavioural Plasticity in Honeybees (Apis mellifera) oleh Shao-Wu Zhang, Hong Zhu, David Guez

    Diterbitkan 2012-10-01
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  6. 6
    DGMP: Identifying Cancer Driver Genes by Jointing DGCN and MLP from Multi-omics Genomic Data

    DGMP: Identifying Cancer Driver Genes by Jointing DGCN and MLP from Multi-omics Genomic Data oleh Shao-Wu Zhang, Jing-Yu Xu, Tong Zhang

    Diterbitkan 2022-10-01
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  7. 7
    smsMap: mapping single molecule sequencing reads by locating the alignment starting positions

    smsMap: mapping single molecule sequencing reads by locating the alignment starting positions oleh Ze-Gang Wei, Shao-Wu Zhang, Fei Liu

    Diterbitkan 2020-08-01
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  8. 8
    DPDDI: a deep predictor for drug-drug interactions

    DPDDI: a deep predictor for drug-drug interactions oleh Yue-Hua Feng, Shao-Wu Zhang, Jian-Yu Shi

    Diterbitkan 2020-09-01
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  9. 9
    DMSC: A Dynamic Multi-Seeds Method for Clustering 16S rRNA Sequences Into OTUs

    DMSC: A Dynamic Multi-Seeds Method for Clustering 16S rRNA Sequences Into OTUs oleh Ze-Gang Wei, Ze-Gang Wei, Shao-Wu Zhang

    Diterbitkan 2019-03-01
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  10. 10
    trumpet: transcriptome-guided quality assessment of m6A-seq data

    trumpet: transcriptome-guided quality assessment of m6A-seq data oleh Teng Zhang, Shao-Wu Zhang, Lin Zhang, Jia Meng

    Diterbitkan 2018-07-01
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  11. 11
    Prediction of Protein–Protein Interaction with Pairwise Kernel Support Vector Machine

    Prediction of Protein–Protein Interaction with Pairwise Kernel Support Vector Machine oleh Shao-Wu Zhang, Li-Yang Hao, Ting-He Zhang

    Diterbitkan 2014-02-01
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  12. 12
    QNB: differential RNA methylation analysis for count-based small-sample sequencing data with a quad-negative binomial model

    QNB: differential RNA methylation analysis for count-based small-sample sequencing data with a quad-negative binomial model oleh Lian Liu, Shao-Wu Zhang, Yufei Huang, Jia Meng

    Diterbitkan 2017-08-01
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  13. 13
    Prioritization of cancer driver gene with prize-collecting steiner tree by introducing an edge weighted strategy in the personalized gene interaction network

    Prioritization of cancer driver gene with prize-collecting steiner tree by introducing an edge weighted strategy in the personalized gene interaction network oleh Shao-Wu Zhang, Zhen-Nan Wang, Yan Li, Wei-Feng Guo

    Diterbitkan 2022-08-01
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  14. 14
    lncRNA_Mdeep: An Alignment-Free Predictor for Distinguishing Long Non-Coding RNAs from Protein-Coding Transcripts by Multimodal Deep Learning

    lncRNA_Mdeep: An Alignment-Free Predictor for Distinguishing Long Non-Coding RNAs from Protein-Coding Transcripts by Multimodal Deep Learning oleh Xiao-Nan Fan, Shao-Wu Zhang, Song-Yao Zhang, Jin-Jie Ni

    Diterbitkan 2020-07-01
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  15. 15
    m6A-Driver: Identifying Context-Specific mRNA m6A Methylation-Driven Gene Interaction Networks.

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

    Diterbitkan 2016-12-01
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  16. 16
    Recent advances in functional annotation and prediction of the epitranscriptome

    Recent advances in functional annotation and prediction of the epitranscriptome oleh Song-Yao Zhang, Shao-Wu Zhang, Teng Zhang, Xiao-Nan Fan, Jia Meng

    Diterbitkan 2021-01-01
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  17. 17
    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 oleh Xiao-Nan Fan, Shao-Wu Zhang, Song-Yao Zhang, Kunju Zhu, Songjian Lu

    Diterbitkan 2019-02-01
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  18. 18
    Inference of Gene Regulatory Network Based on Local Bayesian Networks.

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

    Diterbitkan 2016-08-01
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  19. 19
    A novel network control model for identifying personalized driver genes in cancer.

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

    Diterbitkan 2019-11-01
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  20. 20
    Performance assessment of sample-specific network control methods for bulk and single-cell biological data analysis.

    Performance assessment of sample-specific network control methods for bulk and single-cell biological data analysis. oleh Wei-Feng Guo, Xiangtian Yu, Qian-Qian Shi, Jing Liang, Shao-Wu Zhang, Tao Zeng

    Diterbitkan 2021-05-01
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