Robust Huber-LASSO for improved prediction of protein, metabolite and gene expression levels relying on individual genotype data
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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… read more here.
Keywords: protein metabolite; lasso; robust huber; expression ... See more keywords