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        <datestamp>2026-09-23T17:50:57Z</datestamp>
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          <dc:title>&lt;p&gt;Proportion of common features. This displays the proportion of shared nonzero coefficients between each pair of models (Lasso (L), uniLasso (U), and uniLasso with external scores (ES)) for all phenotypes. Each value represents the size of the intersection divided by the size of the union of non-zero SNPs. Recall that the binary phenotypes have much smaller active-sets, as shown in Table 1.&lt;/p&gt;</dc:title>
          <dc:creator>Joshua Richland (25099428)</dc:creator>
          <dc:creator>Tuomo Kiiskinen (8704011)</dc:creator>
          <dc:creator>William Wang (5811092)</dc:creator>
          <dc:creator>Wenhui Sophia Lu (25099431)</dc:creator>
          <dc:creator>Balasubramanian Narasimhan (6444833)</dc:creator>
          <dc:creator>Trevor Hastie (195)</dc:creator>
          <dc:creator>Manuel Rivas (268944)</dc:creator>
          <dc:creator>Robert Tibshirani (196)</dc:creator>
          <dc:subject>Genetics</dc:subject>
          <dc:subject>Evolutionary Biology</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>Mathematical Sciences not elsewhere classified</dc:subject>
          <dc:subject>Science Policy</dc:subject>
          <dc:subject>Infectious Diseases</dc:subject>
          <dc:subject>stabilize feature selection</dc:subject>
          <dc:subject>regression toward variants</dc:subject>
          <dc:subject>level target data</dc:subject>
          <dc:subject>informing penalty weights</dc:subject>
          <dc:subject>guided sparse regression</dc:subject>
          <dc:subject>based repository comprising</dc:subject>
          <dc:subject>external statistics guide</dc:subject>
          <dc:subject>external scores ).</dc:subject>
          <dc:subject>recently introduced univariate</dc:subject>
          <dc:subject>leverages univariate coefficients</dc:subject>
          <dc:subject>prs estimation methods</dc:subject>
          <dc:subject>signals guide</dc:subject>
          <dc:subject>unilasso ).</dc:subject>
          <dc:subject>yielding sparser</dc:subject>
          <dc:subject>xlink "&gt;</dc:subject>
          <dc:subject>united kingdom</dc:subject>
          <dc:subject>standard lasso</dc:subject>
          <dc:subject>sign constraints</dc:subject>
          <dc:subject>results demonstrate</dc:subject>
          <dc:subject>remains competitive</dc:subject>
          <dc:subject>prior evidence</dc:subject>
          <dc:subject>interpretable models</dc:subject>
          <dc:subject>empirical advantages</dc:subject>
          <dc:description>&lt;p&gt;Proportion of common features. This displays the proportion of shared nonzero coefficients between each pair of models (Lasso (L), uniLasso (U), and uniLasso with external scores (ES)) for all phenotypes. Each value represents the size of the intersection divided by the size of the union of non-zero SNPs. Recall that the binary phenotypes have much smaller active-sets, as shown in &lt;a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1012314#pgen.1012314.t001" target="_blank"&gt;Table 1&lt;/a&gt;.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-23T17:43:15Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.1371/journal.pgen.1012314.t003</dc:identifier>
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