Article
TSLRF: Two-Stage Algorithm Based on Least Angle Regression and Random Forest in genome-wide association studies.
Scientific reports - 2 Dec 2019
Sun Jiali, Wu Qingtai, Shen Dafeng, Wen Yangjun, Liu Fengrong, Gao Yu, Ding Jie, Zhang Jin
Abstract excerpt
One of the most important tasks in genome-wide association analysis (GWAS) is the detection of single-nucleotide polymorphisms (SNPs) which are related to target traits. With the development of sequencing technology, traditional statistical methods are difficult to analyze the corresponding high-dimensional massive data or SNPs. Recently, machine learning methods have become more popular in high-dimensional...
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