Machine Learning-Based Single-Cell RNA-seq Analysis in Drug Response: A Hybrid Multi-Stage Gene Selection and Soft Voting Approach.
- DOI
- 10.31557/apjcp.2026.27.10.3709
- Published
- 2026 Oct 1
- Container
- Asian Pacific journal of cancer prevention : APJCP
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.31557/apjcp.2026.27.10.3709,
title = {Machine Learning-Based Single-Cell RNA-seq Analysis in Drug Response: A Hybrid Multi-Stage Gene Selection and Soft Voting Approach.},
author = {Khalsan M and Al-Khafaji AH and Al-Alloosh F},
year = {2026},
journal = {Asian Pacific journal of cancer prevention : APJCP},
doi = {10.31557/apjcp.2026.27.10.3709},
url = {https://doi.org/10.31557/apjcp.2026.27.10.3709}
}RIS
TY - JOUR TI - Machine Learning-Based Single-Cell RNA-seq Analysis in Drug Response: A Hybrid Multi-Stage Gene Selection and Soft Voting Approach. AU - Khalsan M AU - Al-Khafaji AH AU - Al-Alloosh F PY - 2026 JO - Asian Pacific journal of cancer prevention : APJCP DO - 10.31557/apjcp.2026.27.10.3709 UR - https://doi.org/10.31557/apjcp.2026.27.10.3709 ER -
APA
M, K., AH, A., & F, A. (2026). Machine Learning-Based Single-Cell RNA-seq Analysis in Drug Response: A Hybrid Multi-Stage Gene Selection and Soft Voting Approach.. Asian Pacific journal of cancer prevention : APJCP. https://doi.org/10.31557/apjcp.2026.27.10.3709
Source records
- pubmed · retrieved 2026-11-10T20:20:09.701Z