Supervised Classification of Missense Mutations as Pathogenic or Tolerated using Ensemble Learning Methods
Missense mutations account for more than 50% of the mutations known to be involved in human inherited diseases. Missense classification is a challenging task that involves sequencing of the genome, identifying the variations, and assessing their deleteriousness. This is a very laborious, time and co...
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| Language: | en_US |
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2018
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| Online Access: | http://etd.iisc.ernet.in/2005/3804 http://etd.iisc.ernet.in/abstracts/4674/G28613-Abs.pdf |