Integrative multi-omics machine learning reveals novel driver genes associations in lung adenocarcinoma.
- DOI
- 10.1016/j.bbapap.2025.141113
- Published
- 2026 Jan 1
- Container
- Biochimica et biophysica acta. Proteins and proteomics
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.bbapap.2025.141113,
title = {Integrative multi-omics machine learning reveals novel driver genes associations in lung adenocarcinoma.},
author = {Yuan F and Huang F and Cao X and Zhang YH and Feng K and Bao Y and Huang T and Cai YD},
year = {2026},
journal = {Biochimica et biophysica acta. Proteins and proteomics},
doi = {10.1016/j.bbapap.2025.141113},
url = {https://doi.org/10.1016/j.bbapap.2025.141113}
}RIS
TY - JOUR TI - Integrative multi-omics machine learning reveals novel driver genes associations in lung adenocarcinoma. AU - Yuan F AU - Huang F AU - Cao X AU - Zhang YH AU - Feng K AU - Bao Y AU - Huang T AU - Cai YD PY - 2026 JO - Biochimica et biophysica acta. Proteins and proteomics DO - 10.1016/j.bbapap.2025.141113 UR - https://doi.org/10.1016/j.bbapap.2025.141113 ER -
APA
F, Y., F, H., X, C., YH, Z., K, F., Y, B., T, H., & YD, C. (2026). Integrative multi-omics machine learning reveals novel driver genes associations in lung adenocarcinoma.. Biochimica et biophysica acta. Proteins and proteomics. https://doi.org/10.1016/j.bbapap.2025.141113
Source records
- pubmed · retrieved 2026-09-26T04:53:49.356Z