The standard deviations across simulated data sets of non-zero estimates of penalized coefficients under different omics studies.

<p>For the gene expression study, we show results for the settings with design matrices with non-zero inter-feature correlation and for the microbiome study, for the settings with design matrices with band OTU-network based correlation structure.</p>

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Bibliographic Details
Main Author:	Evan Gorstein (20553314) (author)
Other Authors:	Rosa Aghdam (550735) (author), Claudia Solís-Lemus (2547481) (author)
Published:	2025
Subjects:	Genetics Evolutionary Biology Cancer Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified two popular penalties penalized likelihood approach least absolute shrinkage increasingly important form wrap "> highdimmixedmodels penalty consistently outperforms div >< p coordinate descent algorithm wide association variable selection use =" three types selection operator real examples models relies lacks guarantees julia package global optimum fit models empower researchers empirically study effects models dimensional mixed covariates rivals algorithm ’
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The standard deviations across simulated data sets of non-zero estimates of penalized coefficients under different omics studies.

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