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svaseq: removing batch effects and other unwanted noise from sequencing data

bioRxiv

Jun 25, 2014

Jeffrey T. Leek

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Abstract

It is now well known that unwanted noise and unmodeled artifacts such as batch effects can dramatically reduce the accuracy of statistical inference in genomic experiments. We introduced surrogate variable analysis for estimating these artifacts by (1) identifying the part of the genomi...read more

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  • svaseq: removing batch effects and other unwanted noise from sequencing data

    bioRxiv

    Jun 25, 2014

    Jeffrey T. Leek

    PMID: 990006585

    DOI: 10.1101/006585

    Abstract

    It is now well known that unwanted noise and unmodeled artifacts such as batch effects can dramatically reduce the accuracy of statistical inference in genomic experiments. We introduced surrogate variable analysis for estimating these artifacts by (1) identifying the part of the genomi...read more

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    1
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