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Accounting for sources of bias and uncertainty in copy number-based statistical deconvolution of heterogeneous tumour samples

bioRxiv

Apr 30, 2014

Christopher Yau

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Abstract

Deconvolving heterogeneous tumour samples to identify constituent cell populations with differing copy number profiles using whole genome sequencing data is a challenging problem. Copy number calling algorithms have differential detection rates for different sizes and classes of copy nu...read more

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  • Accounting for sources of bias and uncertainty in copy number-based statistical deconvolution of heterogeneous tumour samples

    bioRxiv

    Apr 30, 2014

    Christopher Yau

    PMID: 990004655

    DOI: 10.1101/004655

    Abstract

    Deconvolving heterogeneous tumour samples to identify constituent cell populations with differing copy number profiles using whole genome sequencing data is a challenging problem. Copy number calling algorithms have differential detection rates for different sizes and classes of copy nu...read more

    2
    9
    Paper Details
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