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Article

Circumstantial Evidence? Comparison of Statistical Learning Methods using Functional Annotations for Prioritizing Risk Variants

2014-11-15

Abstract excerpt

Although technology has triumphed in facilitating routine genome re-sequencing, new challenges have been created for the data analyst. Genome scale surveys of human disease variation generate volumes of data that far exceed capabilities for laboratory characterization, and importantly also create a substantial burden of type I error. By incorporating a variety of functional annotations as predictors, such as regul...

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Literature Corpus work
1888ef55-c94c-5851-b7ab-c71e3903bded
DOI
10.1101/011445
Open publication

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Circumstantial Evidence? Comparison of Statistical Learning Methods using Functional Annotations for Prioritizing Risk VariantsDOI 10.1101/011445
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