<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Waldron, Levi</style></author><author><style face="normal" font="default" size="100%">Pintilie, Melania</style></author><author><style face="normal" font="default" size="100%">Tsao, Ming-Sound</style></author><author><style face="normal" font="default" size="100%">Shepherd, Frances A</style></author><author><style face="normal" font="default" size="100%">Huttenhower, Curtis</style></author><author><style face="normal" font="default" size="100%">Jurisica, Igor</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Optimized application of penalized regression methods to diverse genomic data.</style></title><secondary-title><style face="normal" font="default" size="100%">Bioinformatics (Oxford, England)</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Bioinformatics</style></alt-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2011 Dec 15</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">27</style></volume><pages><style face="normal" font="default" size="100%">3399-406</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Penalized regression methods have been adopted widely for high-dimensional feature selection and prediction in many bioinformatic and biostatistical contexts. While their theoretical properties are well-understood, specific methodology for their optimal application to genomic data has not been determined.</style></abstract><issue><style face="normal" font="default" size="100%">24</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/22156367?dopt=Abstract</style></custom1></record></records></xml>
