Publication Date
8-2026
Document Type
Research Project
Publication Title
Gavilan College's 2026 Poster Symposium
Abstract
Background and Context: The Cancer Genome Atlas (TCGA) is a large public collection of medical data from thousands of cancer patients, managed by the NCI and NHGRI [1]. This project focuses on the TCGA-LUAD (Lung Adenocarcinoma) dataset, which contains clinical and molecular data from patients with lung adenocarcinoma [2]. We use Machine Learning (ML) to see if a patient's basic medical info can predict how well their lung cancer treatment will work.
Funding Number
P031C210210
Funding Sponsor
U.S. Department of Education
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Department
Computer Science
Recommended Citation
Cassandra Tellez and Maryam Khazaei Pool. "Machine Learning Pipeline for TCGA-LUAD Clinical Outcome Prediction" Gavilan College's 2026 Poster Symposium (2026).
