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KARL: Knowledge Augmented Rule Learning for Informed Biomarker Discovery

2019-08-08

Abstract excerpt

<h4>Background: </h4> Ongoing molecular profiling studies enabled by advances in biomedical technologies are producing vast amounts of &lsquo;omic&rsquo; data for early detection, monitoring, and prognosis of diverse diseases. A major common limitation is the scarcity of biological samples, necessitating integrative modeling frameworks that can make optimal use of available data for disease classification tasks. R...

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Literature Corpus work
31f721f3-585c-587a-b94d-9c1acff1bbe3
DOI
10.20944/preprints201908.0100.v1
Open publication

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KARL: Knowledge Augmented Rule Learning for Informed Biomarker DiscoveryDOI 10.20944/preprints201908.0100.v1
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