ipflasso swMATH ID: 31364 Software Authors: Boulesteix, Anne-Laure; De Bin, Riccardo; Jiang, Xiaoyu; Fuchs, Mathias Description: R package ipflasso: Integrative Lasso with Penalty Factors. The core of the package is cvr2.ipflasso(), an extension of glmnet to be used when the (large) set of available predictors is partitioned into several modalities which potentially differ with respect to their information content in terms of prediction. For example, in biomedical applications patient outcome such as survival time or response to therapy may have to be predicted based on, say, mRNA data, miRNA data, methylation data, CNV data, clinical data, etc. The clinical predictors are on average often much more important for outcome prediction than the mRNA data. The ipflasso method takes this problem into account by using different penalty parameters for predictors from different modalities. The ratio between the different penalty parameters can be chosen from a set of optional candidates by cross-validation or alternatively generated from the input data. Homepage: https://cran.r-project.org/web/packages/ipflasso/index.html Source Code: https://github.com/cran/ipflasso Dependencies: R Keywords: omics data; simple (L_1)-penalized regression method; integrative LASSO with penalty factors Related Software: glmnet; glasso; palasso; TANDEM; R; rda; penalized; CorShrink; TCGAbiolinks; SuperLearner; CRAN; EMVS; CoRF; EBayesThresh; BayesLogit; PMA Cited in: 5 Publications Standard Articles 1 Publication describing the Software, including 1 Publication in zbMATH Year IPF-LASSO: integrative \(L_1\)-penalized regression with penalty factors for prediction based on multi-omics data. Zbl 1370.92016Boulesteix, Anne-Laure; De Bin, Riccardo; Jiang, Xiaoyu; Fuchs, Mathias 2017 all top 5 Cited by 15 Authors 2 Rauschenberger, Armin 1 Boulesteix, Anne-Laure Isabeau 1 Ciocănea-Teodorescu, Iuliana 1 De Bin, Riccardo 1 De Wiel, Mark A. van 1 Fuchs, Mathias 1 Jiang, Xiaoyu 1 Jonker, Marianne A. 1 Menezes, Renée X. 1 Münch, Magnus M. 1 Niezink, Nynke M. D. 1 Nugent, Rebecca 1 Te Beest, Dennis E. 1 van Nee, Mirrelijn M. 1 Yang, Xiaoyi Cited in 5 Serials 1 Scandinavian Journal of Statistics 1 Statistical Methods and Applications 1 Advances in Data Analysis and Classification. ADAC 1 Computational & Mathematical Methods in Medicine 1 Journal of Computational and Graphical Statistics Cited in 3 Fields 5 Statistics (62-XX) 1 Game theory, economics, finance, and other social and behavioral sciences (91-XX) 1 Biology and other natural sciences (92-XX) Citations by Year