检索结果 - Sayan Mukherjee

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  1. 1
    Dissecting High-Dimensional Phenotypes with Bayesian Sparse Factor Analysis of Genetic Covariance Matrices

    Dissecting High-Dimensional Phenotypes with Bayesian Sparse Factor Analysis of Genetic Covariance Matrices 由 Daniel E. Runcie, Sayan Mukherjee

    出版 2013
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  2. 2
    GSAASeqSP: A Toolset for Gene Set Association Analysis of RNA-Seq Data

    GSAASeqSP: A Toolset for Gene Set Association Analysis of RNA-Seq Data 由 Qing Xiong, Sayan Mukherjee, Terrence S. Furey

    出版 2014
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  3. 3
    Detecting epistasis with the marginal epistasis test in genetic mapping studies of quantitative traits

    Detecting epistasis with the marginal epistasis test in genetic mapping studies of quantitative traits 由 Lorin Crawford, Ping Zeng, Sayan Mukherjee, Xiang Zhou

    出版 2017
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  4. 4
    Estimating Rates of Progression and Predicting Future Visual Fields in Glaucoma Using a Deep Variational Autoencoder

    Estimating Rates of Progression and Predicting Future Visual Fields in Glaucoma Using a Deep Variational Autoencoder 由 Samuel I. Berchuck, Sayan Mukherjee, Felipe A. Medeiros

    出版 2019
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  5. 5
    Evidence of Influence of Genomic DNA Sequence on Human X Chromosome Inactivation

    Evidence of Influence of Genomic DNA Sequence on Human X Chromosome Inactivation 由 Zhong Wang, Huntington F. Willard, Sayan Mukherjee, Terrence S. Furey

    出版 2006
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  6. 6
    Bayesian Approximate Kernel Regression With Variable Selection

    Bayesian Approximate Kernel Regression With Variable Selection 由 Lorin Crawford, Kris C. Wood, Xiang Zhou, Sayan Mukherjee

    出版 2017
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  7. 7
    A phylogenetic transform enhances analysis of compositional microbiota data

    A phylogenetic transform enhances analysis of compositional microbiota data 由 Justin D. Silverman, Alex Washburne, Sayan Mukherjee, Lawrence A. David

    出版 2017
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  8. 8
    Naught all zeros in sequence count data are the same

    Naught all zeros in sequence count data are the same 由 Justin D. Silverman, Kimberly Roche, Sayan Mukherjee, Lawrence A. David

    出版 2020
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  9. 9
    Integrating genetic and gene expression evidence into genome-wide association analysis of gene sets

    Integrating genetic and gene expression evidence into genome-wide association analysis of gene sets 由 Qing Xiong, Nicola Ancona, Elizabeth R. Hauser, Sayan Mukherjee, Terrence S. Furey

    出版 2011
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  10. 10
    Modeling Cancer Progression via Pathway Dependencies

    Modeling Cancer Progression via Pathway Dependencies 由 Elena J. Edelman, Justin Guinney, Jen‐Tsan Chi, Phillip G. Febbo, Sayan Mukherjee

    出版 2008
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  11. 11
    Evidence-ranked motif identification

    Evidence-ranked motif identification 由 Stoyan Georgiev, Alan P. Boyle, Karthik Jayasurya, Xuan Ding, Sayan Mukherjee, Uwe Ohler

    出版 2010
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  12. 12
    Dynamic linear models guide design and analysis of microbiota studies within artificial human guts

    Dynamic linear models guide design and analysis of microbiota studies within artificial human guts 由 Justin D. Silverman, Heather K. Durand, Rachael J. Bloom, Sayan Mukherjee, Lawrence A. David

    出版 2018
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  13. 13
    Impact of anxiety and depression on progression to glaucoma among glaucoma suspects

    Impact of anxiety and depression on progression to glaucoma among glaucoma suspects 由 Samuel I. Berchuck, Alessandro A. Jammal, Sayan Mukherjee, Tamara J. Somers, Felipe A. Medeiros

    出版 2020
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  14. 14
    Combinations of DIPs and Dprs control organization of olfactory receptor neuron terminals in Drosophila

    Combinations of DIPs and Dprs control organization of olfactory receptor neuron terminals in Drosophila 由 Scott Barish, Sarah Nuss, Ilya Strunilin, Suyang Bao, Sayan Mukherjee, Corbin D. Jones, Pelin Volkan

    出版 2018
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  15. 15
    Comparative study of gene set enrichment methods

    Comparative study of gene set enrichment methods 由 Luca Abatangelo, Rosalia Maglietta, Angela Distaso, A. D’Addabbo, Teresa Maria Creanza, Sayan Mukherjee, Nicola Ancona

    出版 2009
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  16. 16
    Optimal gene expression analysis by microarrays

    Optimal gene expression analysis by microarrays 由 Lance D. Miller, Philip M. Long, Limsoon Wong, Sayan Mukherjee, Lisa M. McShane, Edison T. Liu

    出版 2002
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  17. 17
    Analysis of sample set enrichment scores: assaying the enrichment of sets of genes for individual samples in genome-wide expression profiles

    Analysis of sample set enrichment scores: assaying the enrichment of sets of genes for individual samples in genome-wide expression profiles 由 Elena J. Edelman, Alessandro Porrello, Justin Guinney, Bala S. Balakumaran, Andrea Bild, Phillip G. Febbo, Sayan Mukherjee

    出版 2006
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  18. 18
    Fast Principal-Component Analysis Reveals Convergent Evolution of ADH1B in Europe and East Asia

    Fast Principal-Component Analysis Reveals Convergent Evolution of ADH1B in Europe and East Asia 由 Kevin Galinsky, Gaurav Bhatia, Po‐Ru Loh, Stoyan Georgiev, Sayan Mukherjee, Nick Patterson, Alkes L. Price

    出版 2016
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  19. 19
    Differential expression analysis for RNAseq using Poisson mixed models

    Differential expression analysis for RNAseq using Poisson mixed models 由 Shiquan Sun, Michelle M. Hood, Laura J. Scott, Qinke Peng, Sayan Mukherjee, Jenny Tung, Xiang Zhou

    出版 2017
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  20. 20
    Measuring and mitigating PCR bias in microbiota datasets

    Measuring and mitigating PCR bias in microbiota datasets 由 Justin D. Silverman, Rachael J. Bloom, Sharon Jiang, Heather K. Durand, Eric P. Dallow, Sayan Mukherjee, Lawrence A. David

    出版 2021
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