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Predictive computational phenotyping and biomarker discovery using reference-free genome comparisons

2016-03-27

Abstract excerpt

<h4>Background</h4> The identification of genomic biomarkers is a key step towards improving diagnostic tests and therapies. We present a reference-free method for this task that relies on a k -mer representation of genomes and a machine learning algorithm that produces intelligible models. The method is computationally scalable and well-suited for whole genome sequencing studies. <h4>Results</h4> The method w...

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Literature Corpus work
312e0309-ff55-50b0-816c-0897441b463a
DOI
10.1101/045153
Open publication

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Predictive computational phenotyping and biomarker discovery using reference-free genome comparisonsDOI 10.1101/045153
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