Article

RFPRED: A RANDOM FOREST APPROACH FOR PREDICTION OF MISSENSE VARIANTS IN HUMAN EXOME

2016-01-20

Abstract excerpt

Exome sequencing is becoming a standard tool for gene mapping of genetic diseases. Given the vast amount of data generated by Next Generation Sequencing techniques, identification of disease causal variants is like finding a needle in a haystack. The impact assessment and the prioritization of potential pathogenic variants are expected to reduce work in biological validation, which is long and costly. One of the p...

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Literature Corpus work: a801f057-b21c-5fca-a5d8-2dde39422f6a
DOI: 10.1101/037127

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