asmbPLS: biomarker identification and patient survival prediction with multi-omics data
The inherent nature of asmbPLS imparts it with higher sensitivity in feature selection compared to other methods. Furthermore, an R package called asmbPLS implementing this method is made publicly available.
Authors
- Susmita Datta (ORCID: https://orcid.org/0000-0002-7408-699X)
- Runzhi Zhang (ORCID: https://orcid.org/0000-0002-0763-5928)
Institutions
- University of Florida (US)
Publication Details
- Journal
- Frontiers in Genetics
- Published
- 2024-11-22
- DOI
- https://doi.org/10.3389/fgene.2024.1444054
- Citations
- 2
- Primary Topic
- Gene expression and cancer classification
- Type
- article
- Field-Weighted Citation Impact
- 0.47
Funders
- Florida State University
- National Institutes of Health
- National Center for Advancing Translational Sciences