A robust machine learning approach for breast cancer subtype classification using relative gene expression order representations.
- DOI
- 10.1016/j.cmpb.2026.109510
- Published
- 2026 Oct
- Container
- Computer methods and programs in biomedicine
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.cmpb.2026.109510,
title = {A robust machine learning approach for breast cancer subtype classification using relative gene expression order representations.},
author = {Uma Kandan S and Abul O},
year = {2026},
journal = {Computer methods and programs in biomedicine},
doi = {10.1016/j.cmpb.2026.109510},
url = {https://doi.org/10.1016/j.cmpb.2026.109510}
}RIS
TY - JOUR TI - A robust machine learning approach for breast cancer subtype classification using relative gene expression order representations. AU - Uma Kandan S AU - Abul O PY - 2026 JO - Computer methods and programs in biomedicine DO - 10.1016/j.cmpb.2026.109510 UR - https://doi.org/10.1016/j.cmpb.2026.109510 ER -
APA
S, U. K., & O, A. (2026). A robust machine learning approach for breast cancer subtype classification using relative gene expression order representations.. Computer methods and programs in biomedicine. https://doi.org/10.1016/j.cmpb.2026.109510
Source records
- pubmed · retrieved 2026-09-24T20:44:17.216Z