Package ‘springer’
| dc.contributor.author | Zhou, Fei | |
| dc.contributor.author | Liu, Yuwen | |
| dc.contributor.author | Lu, Xi | |
| dc.contributor.author | Ren, Jie | |
| dc.contributor.author | Wu, Cen | |
| dc.date.accessioned | 2023-09-28T21:59:34Z | |
| dc.date.available | 2023-09-28T21:59:34Z | |
| dc.date.issued | 2023-09-19 | |
| dc.date.published | 2023 | en_US |
| dc.description.abstract | Recently, regularized variable selection has emerged as a powerful tool to iden- tify and dissect gene-environment interactions. Nevertheless, in longitudinal studies with high di- mensional genetic factors, regularization methods for G×E interactions have not been systemati- cally developed. In this package, we provide the implementation of sparse group variable selec- tion, based on both the quadratic inference function (QIF) and generalized estimating equa- tion (GEE), to accommodate the bi-level selection for longitudinal G×E studies with high dimen- sional genomic features. Alternative methods conducting only the group or individual level se- lection have also been included. The core modules of the package have been developed in C++. | en_US |
| dc.identifier.uri | https://hdl.handle.net/2097/43500 | |
| dc.rights | This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). | en_US |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en_US |
| dc.title | Package ‘springer’ | en_US |
| dc.title.alternative | Sparse Group Variable Selection for Gene-Environment Interactions in the Longitudinal Stud | en_US |
| dc.type | Text | en_US |
