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Published in 2021 at "Briefings in Bioinformatics"
DOI: 10.1093/bib/bbaa230
Abstract: Abstract Least absolute shrinkage and selection operator (LASSO) regression is often applied to select the most promising set of single nucleotide polymorphisms (SNPs) associated with a molecular phenotype of interest. While the penalization parameter λ…
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Keywords:
protein metabolite;
lasso;
robust huber;
expression ... See more keywords