Search Results - Sham, Pak Chung

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  1. 1
    FastPval: a fast and memory efficient program to calculate very low P-values from empirical distribution

    FastPval: a fast and memory efficient program to calculate very low P-values from empirical distribution by Li, Mulin Jun, Sham, Pak Chung, Wang, Junwen

    Published 2010
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  2. 2
    Genetic variant representation, annotation and prioritization in the post-GWAS era

    Genetic variant representation, annotation and prioritization in the post-GWAS era by Li, Mulin Jun, Sham, Pak Chung, Wang, Junwen

    Published 2012
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  3. 3
    Evaluation of tools for highly variable gene discovery from single-cell RNA-seq data

    Evaluation of tools for highly variable gene discovery from single-cell RNA-seq data by Yip, Shun H, Sham, Pak Chung, Wang, Junwen

    Published 2018
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  4. 4
    Estimating the Total Number of Susceptibility Variants Underlying Complex Diseases from Genome-Wide Association Studies

    Estimating the Total Number of Susceptibility Variants Underlying Complex Diseases from Genome-Wide Association Studies by So, Hon-Cheong, Yip, Benjamin H. K., Sham, Pak Chung

    Published 2010
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  5. 5
    Commonality in dysregulated expression of gene sets in cortical brains of individuals with autism, schizophrenia, and bipolar disorder

    Commonality in dysregulated expression of gene sets in cortical brains of individuals with autism, schizophrenia, and bipolar disorder by Guan, Jinting, Cai, James J., Ji, Guoli, Sham, Pak Chung

    Published 2019
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  6. 6
    LINE1 and Mecp2 methylation of the adult striatum and prefrontal cortex exposed to prenatal immune activation

    LINE1 and Mecp2 methylation of the adult striatum and prefrontal cortex exposed to prenatal immune activation by Basil, Paul, Li, Qi, Sham, Pak-Chung, McAlonan, Grainne M.

    Published 2019
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  7. 7
    Genome-wide DNA methylation data from adult brain following prenatal immune activation and dietary intervention

    Genome-wide DNA methylation data from adult brain following prenatal immune activation and dietary intervention by Basil, Paul, Li, Qi, McAlonan, Grainne M., Sham, Pak-Chung

    Published 2019
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  8. 8
    Integrating Clinical Data and Imputed Transcriptome from GWAS to Uncover Complex Disease Subtypes: Applications in Psychiatry and Cardiology

    Integrating Clinical Data and Imputed Transcriptome from GWAS to Uncover Complex Disease Subtypes: Applications in Psychiatry and Cardiology by Yin, Liangying, Chau, Carlos K.L., Sham, Pak-Chung, So, Hon-Cheong

    Published 2019
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  9. 9
    GWAS3D: detecting human regulatory variants by integrative analysis of genome-wide associations, chromosome interactions and histone modifications

    GWAS3D: detecting human regulatory variants by integrative analysis of genome-wide associations, chromosome interactions and histone modifications by Li, Mulin Jun, Wang, Lily Yan, Xia, Zhengyuan, Sham, Pak Chung, Wang, Junwen

    Published 2013
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  10. 10
    Linnorm: improved statistical analysis for single cell RNA-seq expression data

    Linnorm: improved statistical analysis for single cell RNA-seq expression data by Yip, Shun H., Wang, Panwen, Kocher, Jean-Pierre A., Sham, Pak Chung, Wang, Junwen

    Published 2017
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  11. 11
    Linnorm: improved statistical analysis for single cell RNA-seq expression data

    Linnorm: improved statistical analysis for single cell RNA-seq expression data by Yip, Shun H., Wang, Panwen, Kocher, Jean-Pierre A., Sham, Pak Chung, Wang, Junwen

    Published 2017
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  12. 12
    HaploShare: identification of extended haplotypes shared by cases and evaluation against controls

    HaploShare: identification of extended haplotypes shared by cases and evaluation against controls by Ying, Dingge, Sham, Pak Chung, Smith, David Keith, Zhang, Lu, Lau, Yu Lung, Yang, Wanling

    Published 2015
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  13. 13
    Homozygosity Mapping on a Single Patient—Identification of Homozygous Regions of Recent Common Ancestry by Using Population Data

    Homozygosity Mapping on a Single Patient—Identification of Homozygous Regions of Recent Common Ancestry by Using Population Data by Zhang, Lu, Yang, Wanling, Ying, Dingge, Cherny, Stacey S, Hildebrandt, Friedhelm, Sham, Pak Chung, Lau, Yu Lung

    Published 2011
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  14. 14
    dbPSHP: a database of recent positive selection across human populations

    dbPSHP: a database of recent positive selection across human populations by Li, Mulin Jun, Wang, Lily Yan, Xia, Zhengyuan, Wong, Maria P., Sham, Pak Chung, Wang, Junwen

    Published 2014
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  15. 15
    Alterations in Gastric Microbiota After H. Pylori Eradication and in Different Histological Stages of Gastric Carcinogenesis

    Alterations in Gastric Microbiota After H. Pylori Eradication and in Different Histological Stages of Gastric Carcinogenesis by Li, Tung Hiu, Qin, Youwen, Sham, Pak Chung, Lau, K.S., Chu, Kent-Man, Leung, Wai K.

    Published 2017
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  16. 16
    DESE: estimating driver tissues by selective expression of genes associated with complex diseases or traits

    DESE: estimating driver tissues by selective expression of genes associated with complex diseases or traits by Jiang, Lin, Xue, Chao, Dai, Sheng, Chen, Shangzhen, Chen, Peikai, Sham, Pak Chung, Wang, Haijun, Li, Miaoxin

    Published 2019
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  17. 17
    A DNA pooling-based case-control study of myopia candidate genes COL11A1, COL18A1, FBN1, and PLOD1 in a Chinese population

    A DNA pooling-based case-control study of myopia candidate genes COL11A1, COL18A1, FBN1, and PLOD1 in a Chinese population by Yip, Shea Ping, Leung, Kim Hung, Fung, Wai Yan, Ng, Po Wah, Sham, Pak Chung, Yap, Maurice K.H.

    Published 2011
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  18. 18
    Using Glycosylated Hemoglobin to Define the Metabolic Syndrome in United States Adults

    Using Glycosylated Hemoglobin to Define the Metabolic Syndrome in United States Adults by Ong, Kwok Leung, Tso, Annette W.K., Lam, Karen S.L., Cherny, Stacey S., Sham, Pak Chung, Cheung, Bernard M.Y.

    Published 2010
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  19. 19
    HLAreporter: a tool for HLA typing from next generation sequencing data

    HLAreporter: a tool for HLA typing from next generation sequencing data by Huang, Yazhi, Yang, Jing, Ying, Dingge, Zhang, Yan, Shotelersuk, Vorasuk, Hirankarn, Nattiya, Sham, Pak Chung, Lau, Yu Lung, Yang, Wanling

    Published 2015
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  20. 20
    A fast and powerful W-test for pairwise epistasis testing

    A fast and powerful W-test for pairwise epistasis testing by Wang, Maggie Haitian, Sun, Rui, Guo, Junfeng, Weng, Haoyi, Lee, Jack, Hu, Inchi, Sham, Pak Chung, Zee, Benny Chung-Ying

    Published 2016
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