An effective heuristic for developing hybrid feature selection in high dimensional and low sample size datasets
The proposed method effectively selects a small number of important features and achieves high prediction performance.
Authors
- Sejong Oh (ORCID: https://orcid.org/0000-0002-9365-274X)
- Hyun-Seok Shin (ORCID: https://orcid.org/0000-0003-0308-5700)
Institutions
- Dankook University (KR)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2024-12-25
- DOI
- https://doi.org/10.1186/s12859-024-06017-9
- Citations
- 7
- Primary Topic
- Gene expression and cancer classification
- Type
- article
- Field-Weighted Citation Impact
- 1.64
Funders
- Ministry of Science and ICT, South Korea
- Institute for Information and Communications Technology Promotion