检索结果 - Gordon K. Smyth

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  1. 1
    Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments

    Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments 由 Gordon K. Smyth

    出版 2004
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  2. 2
    Permutation P-values Should Never Be Zero: Calculating Exact P-values When Permutations Are Randomly Drawn

    Permutation P-values Should Never Be Zero: Calculating Exact P-values When Permutations Are Randomly Drawn 由 Belinda Phipson, Gordon K. Smyth

    出版 2010
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  3. 3
    limmaGUI: A graphical user interface for linear modeling of microarray data

    limmaGUI: A graphical user interface for linear modeling of microarray data 由 James Wettenhall, Gordon K. Smyth

    出版 2004
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  4. 4
    Camera: a competitive gene set test accounting for inter-gene correlation

    Camera: a competitive gene set test accounting for inter-gene correlation 由 Di Wu, Gordon K. Smyth

    出版 2012
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  5. 5
    diffHic: a Bioconductor package to detect differential genomic interactions in Hi-C data

    diffHic: a Bioconductor package to detect differential genomic interactions in Hi-C data 由 Aaron T. L. Lun, Gordon K. Smyth

    出版 2015
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  6. 6
    Normalization of cDNA microarray data

    Normalization of cDNA microarray data 由 Gordon K. Smyth, Terence P. Speed

    出版 2003
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  7. 7
    Moderated statistical tests for assessing differences in tag abundance

    Moderated statistical tests for assessing differences in tag abundance 由 Mark D. Robinson, Gordon K. Smyth

    出版 2007
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  8. 8
    De novo detection of differentially bound regions for ChIP-seq data using peaks and windows: controlling error rates correctly

    De novo detection of differentially bound regions for ChIP-seq data using peaks and windows: controlling error rates correctly 由 Aaron T. L. Lun, Gordon K. Smyth

    出版 2014
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  9. 9
    csaw: a Bioconductor package for differential binding analysis of ChIP-seq data using sliding windows

    csaw: a Bioconductor package for differential binding analysis of ChIP-seq data using sliding windows 由 Aaron T. L. Lun, Gordon K. Smyth

    出版 2015
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  10. 10
    The Subread aligner: fast, accurate and scalable read mapping by seed-and-vote

    The Subread aligner: fast, accurate and scalable read mapping by seed-and-vote 由 Yang Liao, Gordon K. Smyth, Wei Shi

    出版 2013
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  11. 11
    Optimizing the noise versus bias trade-off for Illumina whole genome expression BeadChips

    Optimizing the noise versus bias trade-off for Illumina whole genome expression BeadChips 由 Wei Shi, Alicia Oshlack, Gordon K. Smyth

    出版 2010
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  12. 12
    Testing significance relative to a fold-change threshold is a TREAT

    Testing significance relative to a fold-change threshold is a TREAT 由 Davis J. McCarthy, Gordon K. Smyth

    出版 2009
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  13. 13
    featureCounts: an efficient general purpose program for assigning sequence reads to genomic features

    featureCounts: an efficient general purpose program for assigning sequence reads to genomic features 由 Yang Liao, Gordon K. Smyth, Wei Shi

    出版 2013
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  14. 14
    Use of within-array replicate spots for assessing differential expression in microarray experiments

    Use of within-array replicate spots for assessing differential expression in microarray experiments 由 Gordon K. Smyth, Jean Michaud, Hamish S. Scott

    出版 2005
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  15. 15
    The R package <i>Rsubread</i> is easier, faster, cheaper and better for alignment and quantification of RNA sequencing reads

    The R package <i>Rsubread</i> is easier, faster, cheaper and better for alignment and quantification of RNA sequencing reads 由 Yang Liao, Gordon K. Smyth, Wei Shi

    出版 2018
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  16. 16
    The R package Rsubread is easier, faster, cheaper and better for alignment and quantification of RNA sequencing reads

    The R package Rsubread is easier, faster, cheaper and better for alignment and quantification of RNA sequencing reads 由 Yang Liao, Gordon K. Smyth, Wei Shi

    出版 2019
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  17. 17
    From reads to genes to pathways: differential expression analysis of RNA-Seq experiments using Rsubread and the edgeR quasi-likelihood pipeline

    From reads to genes to pathways: differential expression analysis of RNA-Seq experiments using Rsubread and the edgeR quasi-likelihood pipeline 由 Yunshun Chen, Aaron T. L. Lun, Gordon K. Smyth

    出版 2016
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  18. 18
    From reads to genes to pathways: differential expression analysis of RNA-Seq experiments using Rsubread and the edgeR quasi-likelihood pipeline

    From reads to genes to pathways: differential expression analysis of RNA-Seq experiments using Rsubread and the edgeR quasi-likelihood pipeline 由 Yunshun Chen, Aaron T. L. Lun, Gordon K. Smyth

    出版 2016
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  19. 19
    Microarray background correction: maximum likelihood estimation for the normal-exponential convolution

    Microarray background correction: maximum likelihood estimation for the normal-exponential convolution 由 Jeremy D. Silver, Matthew E. Ritchie, Gordon K. Smyth

    出版 2008
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  20. 20
    Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation

    Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation 由 Davis J. McCarthy, Yunshun Chen, Gordon K. Smyth

    出版 2012
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