caa a22 4500 378925849 CHVBK 20180305123617.0 cr unu---uuuuu 161128e20040812xx s 000 0 eng 10.2202/1544-6115.1069 doi (NATIONALLICENCE)gruyter-10.2202/1544-6115.1069 Deletion/Substitution/Addition Algorithm in Learning with Applications in Genomics [Elektronische Daten] [Sandra E Sinisi, Mark J. van der Laan] van der Laan and Dudoit (2003) provide a road map for estimation and performance assessment where a parameter of interest is defined as the risk minimizer for a suitable loss function and candidate estimators are generated using a loss function. After briefly reviewing this approach, this article proposes a general deletion/substitution/addition algorithm for minimizing, over subsets of variables (e.g., basis functions), the empirical risk of subset-specific estimators of the parameter of interest. This algorithm provides us with a new class of loss-based cross-validated algorithms in prediction of univariate outcomes, which can be extended to handle multivariate outcomes, conditional density and hazard estimation, and censored outcomes such as survival. In the context of regression, using polynomial basis functions, we study the properties of the deletion/substitution/addition algorithm in simulations and apply the method to detect transcription factor binding sites in yeast gene expression experiments. ©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston Statistical Models nationallicence Cross-validation nationallicence estimation nationallicence loss function nationallicence measures of importance nationallicence model selection nationallicence polynomial regression nationallicence prediction nationallicence risk nationallicence variable selection nationallicence Sinisi Sandra E. University of California, Berkeley aut van der Laan Mark J. University of California, Berkeley aut Statistical Applications in Genetics and Molecular Biology De Gruyter 3/1(2004-08-12), 1-38 3:1<1 2004 3 sagmb https://doi.org/10.2202/1544-6115.1069 text/html Onlinezugriff via DOI 1 research article jats NATIONALLICENCE 856 40 https://doi.org/10.2202/1544-6115.1069 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Sinisi Sandra E. University of California, Berkeley aut NATIONALLICENCE 700 1- van der Laan Mark J. University of California, Berkeley aut NATIONALLICENCE 773 0- Statistical Applications in Genetics and Molecular Biology De Gruyter 3/1(2004-08-12), 1-38 3:1<1 2004 3 sagmb CC0 http://creativecommons.org/publicdomain/zero/1.0 nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-gruyter