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

26 Sept 2016

Abstract excerpt

BACKGROUND: 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. RESULTS: The method was validated by...

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PMID: 27671088
DOI: 10.1186/s12864-016-2889-6

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