Identification of Important SNPs using Bayesian Deep Learning on Whole-Genome Arabidopsis thaliana Data
Author:
Affiliation:
1. Thompson Rivers University,Master of Science in Data Science,Kamloops,Canada
2. Thompson Rivers University,Department of Mathematics and Statistics,Kamloops,Canada
3. University of Guelph,School of Computer Science,Guelph,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385457.pdf?arnumber=10385457
Reference30 articles.
1. UK Biobank Data: Come and Get It
2. PLINK: A Tool Set for Whole-Genome Association and Population-Based Linkage Analyses
3. Efficient Bayesian mixed-model analysis increases association power in large cohorts
4. TASSEL: software for association mapping of complex traits in diverse samples
5. GAPIT: genome association and prediction integrated tool
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