highMLR
Feature Selection for High Dimensional Survival Data
Perform high dimensional Feature Selection in the presence of survival outcome. Based on Feature Selection method and different survival analysis, it will obtain the best markers with optimal threshold levels according to their effect on disease progression and produce the most consistent level according to those threshold values. The functions' methodology is based on by Sonabend et al (2021) doi:10.1093/bioinformatics/btab039 and Bhattacharjee et al (2021) doi:10.48550/arXiv.2012.02102.
- Version0.1.1
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release07/18/2022
Team
Atanu Bhattacharjee
Gajendra K. Vishwakarma
Show author detailsRolesAuthor, ContributorSouvik Banerjee
Show author detailsRolesAuthor, Contributor
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- Imports8 packages