Bilaketaren emaitzak - Monther Alhamdoosh

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  1. 1
    RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR

    RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR nork Charity W. Law, Monther Alhamdoosh, Shian Su, Gordon K. Smyth, Matthew E. Ritchie

    Argitaratua 2016
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  2. 2
    RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR

    RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR nork Charity W. Law, Monther Alhamdoosh, Shian Su, Gordon K. Smyth, Matthew E. Ritchie

    Argitaratua 2016
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  3. 3
    Easy and efficient ensemble gene set testing with EGSEA

    Easy and efficient ensemble gene set testing with EGSEA nork Monther Alhamdoosh, Charity W. Law, Luyi Tian, Julie M. Sheridan, Milica Ng, Matthew E. Ritchie

    Argitaratua 2017
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  4. 4
    A guide to creating design matrices for gene expression experiments

    A guide to creating design matrices for gene expression experiments nork Charity W. Law, Kathleen Zeglinski, Xueyi Dong, Monther Alhamdoosh, Gordon K. Smyth, Matthew E. Ritchie

    Argitaratua 2020
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  5. 5
    RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR

    RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR nork Charity W. Law, Monther Alhamdoosh, Shian Su, Xueyi Dong, Luyi Tian, Gordon K. Smyth, Matthew E. Ritchie

    Argitaratua 2018
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  6. 6
    Combining multiple tools outperforms individual methods in gene set enrichment analyses

    Combining multiple tools outperforms individual methods in gene set enrichment analyses nork Monther Alhamdoosh, Milica Ng, Nicholas J. Wilson, Julie M. Sheridan, Huy Huynh, Michael J. Wilson, Matthew E. Ritchie

    Argitaratua 2016
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  7. 7
    Machine learning applied to whole‐blood RNA‐sequencing data uncovers distinct subsets of patients with systemic lupus erythematosus

    Machine learning applied to whole‐blood RNA‐sequencing data uncovers distinct subsets of patients with systemic lupus erythematosus nork William A. Figgett, Katherine Monaghan, Milica Ng, Monther Alhamdoosh, Eugene Maraskovsky, Nicholas J. Wilson, Alberta Hoi, Eric F. Morand, Fabienne Mackay

    Argitaratua 2019
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