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dipm: an R package implementing the Depth Importance in Precision Medicine (DIPM) tree and Forest-based method
SUMMARY: The Depth Importance in Precision Medicine (DIPM) method is a classification tree designed for the identification of subgroups relevant to the precision medicine setting. In this setting, a relevant subgroup is a subgroup in which subjects perform either especially well or poorly with a par...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9245626/ https://www.ncbi.nlm.nih.gov/pubmed/35785020 http://dx.doi.org/10.1093/bioadv/vbac041 |
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author | Chen, Victoria Li, Cai Zhang, Heping |
author_facet | Chen, Victoria Li, Cai Zhang, Heping |
author_sort | Chen, Victoria |
collection | PubMed |
description | SUMMARY: The Depth Importance in Precision Medicine (DIPM) method is a classification tree designed for the identification of subgroups relevant to the precision medicine setting. In this setting, a relevant subgroup is a subgroup in which subjects perform either especially well or poorly with a particular treatment assignment. Herein, we introduce, dipm, a novel R package that implements the DIPM method using R code that calls a program in C. AVAILABILITY AND IMPLEMENTATION: dipm is available under a GPL-3 licence on CRAN https://cran.r-project.org/web/packages/dipm/index.html and at https://ysph.yale.edu/c2s2/software/dipm. It is continuously being developed at https://github.com/chenvict/dipm. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics Advances online. |
format | Online Article Text |
id | pubmed-9245626 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-92456262022-07-01 dipm: an R package implementing the Depth Importance in Precision Medicine (DIPM) tree and Forest-based method Chen, Victoria Li, Cai Zhang, Heping Bioinform Adv Application Note SUMMARY: The Depth Importance in Precision Medicine (DIPM) method is a classification tree designed for the identification of subgroups relevant to the precision medicine setting. In this setting, a relevant subgroup is a subgroup in which subjects perform either especially well or poorly with a particular treatment assignment. Herein, we introduce, dipm, a novel R package that implements the DIPM method using R code that calls a program in C. AVAILABILITY AND IMPLEMENTATION: dipm is available under a GPL-3 licence on CRAN https://cran.r-project.org/web/packages/dipm/index.html and at https://ysph.yale.edu/c2s2/software/dipm. It is continuously being developed at https://github.com/chenvict/dipm. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics Advances online. Oxford University Press 2022-06-13 /pmc/articles/PMC9245626/ /pubmed/35785020 http://dx.doi.org/10.1093/bioadv/vbac041 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Application Note Chen, Victoria Li, Cai Zhang, Heping dipm: an R package implementing the Depth Importance in Precision Medicine (DIPM) tree and Forest-based method |
title | dipm: an R package implementing the Depth Importance in Precision Medicine (DIPM) tree and Forest-based method |
title_full | dipm: an R package implementing the Depth Importance in Precision Medicine (DIPM) tree and Forest-based method |
title_fullStr | dipm: an R package implementing the Depth Importance in Precision Medicine (DIPM) tree and Forest-based method |
title_full_unstemmed | dipm: an R package implementing the Depth Importance in Precision Medicine (DIPM) tree and Forest-based method |
title_short | dipm: an R package implementing the Depth Importance in Precision Medicine (DIPM) tree and Forest-based method |
title_sort | dipm: an r package implementing the depth importance in precision medicine (dipm) tree and forest-based method |
topic | Application Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9245626/ https://www.ncbi.nlm.nih.gov/pubmed/35785020 http://dx.doi.org/10.1093/bioadv/vbac041 |
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