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A Review Paper on Contravention the Curse of Dimensionality for Machine Erudition on Genomic Data

File Size:
1.08 MB
Volume:
Volume 4, Issue 2 (February, 2018)
Publication No:
IJTC201802005
Author:
Kaljot Sharma, Dr.Raman Chadha
Downloads:
14 x

Abstract:
Gene prediction one in every of the foremost difficult tasks within the ordering analysis, that several tools are developed and square measure still evolving. Machine learning is used to discover the complicated genomic interactions which will result in illness like polygenic disorder or cancer. However, current machine learning approaches square measure unable to address these information volumes. We tend to introduce variant spark Random Forests (RF) formula to agitate huge datasets which has Associate in nursing ensemble of call trees and to be applied to high dimensional datasets.

Keywords:
Variantspark RF, machine learning (ML), whole genome sequencing (WGS)