Machine Learning-Driven Identification of Transcriptomic Biomarkers for Colon Adenocarcinoma Using TCGA-COAD Gene Expression Data

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{201002,
        author = {MANDRAJULA ARUN PRABHU TEJA and Mr. D. Ashok},
        title = {Machine Learning-Driven Identification of Transcriptomic Biomarkers for Colon Adenocarcinoma Using TCGA-COAD Gene Expression Data},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {2224-2230},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=201002},
        abstract = {},
        keywords = {Colon Adenocarcinoma, COAD, TCGA, RNA-Seq, Differential Gene Expression, Boruta Algorithm, Elastic Net, Machine Learning, Biomarker Discovery, Kaplan–Meier Survival Analysis, Precision Oncology.},
        month = {May},
        }

Cite This Article

TEJA, M. A. P., & Ashok, M. D. (2026). Machine Learning-Driven Identification of Transcriptomic Biomarkers for Colon Adenocarcinoma Using TCGA-COAD Gene Expression Data. International Journal of Innovative Research in Technology (IJIRT). https://doi.org/doi.org/10.64643/IJIRTV12I12-201002-459

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