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DMWAS: Deep & Machine learning omics Wide Association Study & Feature set optimization by clustering & univariate association for Biomarkers discovery as tested on GTEx pilot dataset for death due to heart-attack

2021-05-26

Abstract excerpt

Univariate and multivariate methods for association of the genomic variations with the end-or-endo phenotype have been widely used for genome wide association studies. In addition to encoding the SNPs, we advocate usage of clustering as a novel method to encode the structural variations, SVs, in genomes, such as the deletions and insertions polymorphism (DIPs), Copy Number Variations (CNVs), translocation, inversi...

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Literature Corpus work
5e034ef6-cf13-5084-b17c-c7895e79bed1
DOI
10.21203/rs.3.rs-413000/v2
Open publication

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DMWAS: Deep & Machine learning omics Wide Association Study & Feature set optimization by clustering & univariate association for Biomarkers discovery as tested on GTEx pilot dataset for death due to heart-attackDOI 10.21203/rs.3.rs-413000/v2
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