Hasil Pencarian - Mark D. Robinson

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  1. 1
    Computational epigenomics: challenges and opportunities

    Computational epigenomics: challenges and opportunities oleh Mark D Robinson, Mark D Robinson, Mattia ePelizzola

    Diterbitkan 2015-03-01
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  2. 2
    pubassistant.ch: consolidating publication profiles of researchers [version 3; peer review: 3 approved]

    pubassistant.ch: consolidating publication profiles of researchers [version 3; peer review: 3 approved] oleh Reto Gerber, Mark D. Robinson

    Diterbitkan 2022-04-01
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  3. 3
    Censcyt: censored covariates in differential abundance analysis in cytometry

    Censcyt: censored covariates in differential abundance analysis in cytometry oleh Reto Gerber, Mark D. Robinson

    Diterbitkan 2021-05-01
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  4. 4
    Benchmarking comes of age

    Benchmarking comes of age oleh Mark D. Robinson, Olga Vitek

    Diterbitkan 2019-10-01
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  5. 5
    ReSeq simulates realistic Illumina high-throughput sequencing data

    ReSeq simulates realistic Illumina high-throughput sequencing data oleh Stephan Schmeing, Mark D. Robinson

    Diterbitkan 2021-02-01
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  6. 6
    BANDITS: Bayesian differential splicing accounting for sample-to-sample variability and mapping uncertainty

    BANDITS: Bayesian differential splicing accounting for sample-to-sample variability and mapping uncertainty oleh Simone Tiberi, Mark D. Robinson

    Diterbitkan 2020-03-01
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  7. 7
    A systematic performance evaluation of clustering methods for single-cell RNA-seq data [version 3; peer review: 2 approved]

    A systematic performance evaluation of clustering methods for single-cell RNA-seq data [version 3; peer review: 2 approved] oleh Angelo Duò, Mark D. Robinson, Charlotte Soneson

    Diterbitkan 2020-11-01
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  8. 8
    A systematic performance evaluation of clustering methods for single-cell RNA-seq data [version 2; referees: 2 approved]

    A systematic performance evaluation of clustering methods for single-cell RNA-seq data [version 2; referees: 2 approved] oleh Angelo Duò, Mark D. Robinson, Charlotte Soneson

    Diterbitkan 2018-09-01
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  9. 9
    pipeComp, a general framework for the evaluation of computational pipelines, reveals performant single cell RNA-seq preprocessing tools

    pipeComp, a general framework for the evaluation of computational pipelines, reveals performant single cell RNA-seq preprocessing tools oleh Pierre-Luc Germain, Anthony Sonrel, Mark D. Robinson

    Diterbitkan 2020-09-01
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  10. 10
    Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferences [version 2; referees: 2 approved]

    Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferences [version 2; referees: 2 approved] oleh Charlotte Soneson, Michael I. Love, Mark D. Robinson

    Diterbitkan 2016-02-01
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  11. 11
    Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferences [version 1; referees: 2 approved]

    Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferences [version 1; referees: 2 approved] oleh Charlotte Soneson, Michael I. Love, Mark D. Robinson

    Diterbitkan 2015-12-01
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  12. 12
    DAMEfinder: a method to detect differential allele-specific methylation

    DAMEfinder: a method to detect differential allele-specific methylation oleh Stephany Orjuela, Dania Machlab, Mirco Menigatti, Giancarlo Marra, Mark D. Robinson

    Diterbitkan 2020-06-01
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  13. 13
    stageR: a general stage-wise method for controlling the gene-level false discovery rate in differential expression and differential transcript usage

    stageR: a general stage-wise method for controlling the gene-level false discovery rate in differential expression and differential transcript usage oleh Koen Van den Berge, Charlotte Soneson, Mark D. Robinson, Lieven Clement

    Diterbitkan 2017-08-01
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  14. 14
    Benchmarking computational methods for single-cell chromatin data analysis

    Benchmarking computational methods for single-cell chromatin data analysis oleh Siyuan Luo, Pierre-Luc Germain, Mark D. Robinson, Ferdinand von Meyenn

    Diterbitkan 2024-08-01
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  15. 15
    Doublet identification in single-cell sequencing data using scDblFinder [version 2; peer review: 2 approved]

    Doublet identification in single-cell sequencing data using scDblFinder [version 2; peer review: 2 approved] oleh Aaron Lun, Carlos Garcia Meixide, Pierre-Luc Germain, Will Macnair, Mark D. Robinson

    Diterbitkan 2022-05-01
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  16. 16
    ARMOR: An Automated Reproducible MOdular Workflow for Preprocessing and Differential Analysis of RNA-seq Data

    ARMOR: An Automated Reproducible MOdular Workflow for Preprocessing and Differential Analysis of RNA-seq Data oleh Stephany Orjuela, Ruizhu Huang, Katharina M. Hembach, Mark D. Robinson, Charlotte Soneson

    Diterbitkan 2019-07-01
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  17. 17
    Author Correction: The shaky foundations of simulating single-cell RNA sequencing data

    Author Correction: The shaky foundations of simulating single-cell RNA sequencing data oleh Helena L. Crowell, Sarah X. Morillo Leonardo, Charlotte Soneson, Mark D. Robinson

    Diterbitkan 2024-07-01
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  18. 18
    The shaky foundations of simulating single-cell RNA sequencing data

    The shaky foundations of simulating single-cell RNA sequencing data oleh Helena L. Crowell, Sarah X. Morillo Leonardo, Charlotte Soneson, Mark D. Robinson

    Diterbitkan 2023-03-01
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  19. 19
    The DNA hypermethylation phenotype of colorectal cancer liver metastases resembles that of the primary colorectal cancers

    The DNA hypermethylation phenotype of colorectal cancer liver metastases resembles that of the primary colorectal cancers oleh Stephany Orjuela, Mirco Menigatti, Peter Schraml, Patryk Kambakamba, Mark D. Robinson, Giancarlo Marra

    Diterbitkan 2020-04-01
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  20. 20
    Small RNA-seq analysis of single porcine blastocysts revealed that maternal estradiol-17beta exposure does not affect miRNA isoform (isomiR) expression

    Small RNA-seq analysis of single porcine blastocysts revealed that maternal estradiol-17beta exposure does not affect miRNA isoform (isomiR) expression oleh Jochen T. Bick, Veronika L. Flöter, Mark D. Robinson, Stefan Bauersachs, Susanne E. Ulbrich

    Diterbitkan 2018-08-01
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