Bilaketaren emaitzak - Xing‐Ming Zhao

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  1. 1
    <i>j</i>NMFMA: a joint non-negative matrix factorization meta-analysis of transcriptomics data

    <i>j</i>NMFMA: a joint non-negative matrix factorization meta-analysis of transcriptomics data nork Hongqiang Wang, Chun-Hou Zheng, Xing‐Ming Zhao

    Argitaratua 2014
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  2. 2
    SemiBin2: self-supervised contrastive learning leads to better MAGs for short- and long-read sequencing

    SemiBin2: self-supervised contrastive learning leads to better MAGs for short- and long-read sequencing nork Shaojun Pan, Xing‐Ming Zhao, Luís Pedro Coelho

    Argitaratua 2023
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  3. 3
    Detecting early-warning signals of type 1 diabetes and its leading biomolecular networks by dynamical network biomarkers

    Detecting early-warning signals of type 1 diabetes and its leading biomolecular networks by dynamical network biomarkers nork Xiaoping Liu, Rui Liu, Xing-Ming Zhao, Luonan Chen

    Argitaratua 2013
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  4. 4
    Gene function prediction using labeled and unlabeled data

    Gene function prediction using labeled and unlabeled data nork Xing‐Ming Zhao, Yong Wang, Luonan Chen, Kazuyuki Aihara

    Argitaratua 2008
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  5. 5
    Cellular transcriptional alterations of peripheral blood in Alzheimer’s disease

    Cellular transcriptional alterations of peripheral blood in Alzheimer’s disease nork Liting Song, Yucheng Yang, Qihao Guo, Xing‐Ming Zhao

    Argitaratua 2022
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  6. 6
    The impact of physical exercise on adolescent social anxiety: the serial mediating effects of sports self-efficacy and expressive suppression

    The impact of physical exercise on adolescent social anxiety: the serial mediating effects of sports self-efficacy and expressive suppression nork Jingtao Wu, Yanhong Shao, Jun Hu, Xing‐Ming Zhao

    Argitaratua 2025
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  7. 7
    APIS: accurate prediction of hot spots in protein interfaces by combining protrusion index with solvent accessibility

    APIS: accurate prediction of hot spots in protein interfaces by combining protrusion index with solvent accessibility nork Junfeng Xia, Xing-Ming Zhao, Jiangning Song, De-Shuang Huang

    Argitaratua 2010
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  8. 8
    Uncovering signal transduction networks from high-throughput data by integer linear programming

    Uncovering signal transduction networks from high-throughput data by integer linear programming nork Xing‐Ming Zhao, Rui‐Sheng Wang, Luonan Chen, Kazuyuki Aihara

    Argitaratua 2008
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  9. 9
    Identifying disease genes and module biomarkers by differential interactions

    Identifying disease genes and module biomarkers by differential interactions nork Xiaoping Liu, Zhi-Ping Liu, Xing‐Ming Zhao, Luonan Chen

    Argitaratua 2011
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  10. 10
    A deep siamese neural network improves metagenome-assembled genomes in microbiome datasets across different environments

    A deep siamese neural network improves metagenome-assembled genomes in microbiome datasets across different environments nork Shaojun Pan, Chengkai Zhu, Xing‐Ming Zhao, Luís Pedro Coelho

    Argitaratua 2022
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  11. 11
    Human Monogenic Disease Genes Have Frequently Functionally Redundant Paralogs

    Human Monogenic Disease Genes Have Frequently Functionally Redundant Paralogs nork Wei‐Hua Chen, Xing‐Ming Zhao, Vera van Noort, Peer Bork

    Argitaratua 2013
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  12. 12
    DeepPhos: prediction of protein phosphorylation sites with deep learning

    DeepPhos: prediction of protein phosphorylation sites with deep learning nork Fenglin Luo, Minghui Wang, Yu Liu, Xing-Ming Zhao, Ao Li

    Argitaratua 2018
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  13. 13
    A global overview of genetically interpretable multimorbidities among common diseases in the UK Biobank

    A global overview of genetically interpretable multimorbidities among common diseases in the UK Biobank nork Guiying Dong, Jianfeng Feng, Fengzhu Sun, Jingqi Chen, Xing‐Ming Zhao

    Argitaratua 2021
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  14. 14
    PhosIDN: an integrated deep neural network for improving protein phosphorylation site prediction by combining sequence and protein–protein interaction information

    PhosIDN: an integrated deep neural network for improving protein phosphorylation site prediction by combining sequence and protein–protein interaction information nork Hangyuan Yang, Minghui Wang, Xia Liu, Xing‐Ming Zhao, Ao Li

    Argitaratua 2021
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  15. 15
    Prediction of S-Glutathionylation Sites Based on Protein Sequences

    Prediction of S-Glutathionylation Sites Based on Protein Sequences nork Chenglei Sun, Zheng-Zheng Shi, Xiaobo Zhou, Luonan Chen, Xing-Ming Zhao

    Argitaratua 2013
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  16. 16
    Conditional mutual inclusive information enables accurate quantification of associations in gene regulatory networks

    Conditional mutual inclusive information enables accurate quantification of associations in gene regulatory networks nork Xiujun Zhang, Juan Zhao, Jin‐Kao Hao, Xing‐Ming Zhao, Luonan Chen

    Argitaratua 2014
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  17. 17
    OGEE v2: an update of the online gene essentiality database with special focus on differentially essential genes in human cancer cell lines

    OGEE v2: an update of the online gene essentiality database with special focus on differentially essential genes in human cancer cell lines nork Wei‐Hua Chen, Guanting Lu, Xiaohong Chen, Xing‐Ming Zhao, Peer Bork

    Argitaratua 2016
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  18. 18
    Macrel: antimicrobial peptide screening in genomes and metagenomes

    Macrel: antimicrobial peptide screening in genomes and metagenomes nork Célio Dias Santos Júnior, Shaojun Pan, Xing‐Ming Zhao, Luís Pedro Coelho

    Argitaratua 2020
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  19. 19
    Identifying dysregulated pathways in cancers from pathway interaction networks

    Identifying dysregulated pathways in cancers from pathway interaction networks nork Ke-Qin Liu, Zhi-Ping Liu, Jin‐Kao Hao, Luonan Chen, Xing‐Ming Zhao

    Argitaratua 2012
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  20. 20
    Cascleave 2.0, a new approach for predicting caspase and granzyme cleavage targets

    Cascleave 2.0, a new approach for predicting caspase and granzyme cleavage targets nork Mingjun Wang, Xing‐Ming Zhao, Hao Tan, Tatsuya Akutsu, James C. Whisstock, Jiangning Song

    Argitaratua 2013
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