Driver Gene Expression Clustering Model for Prognostic Risk Estimation Using Cancer Genomic Data-Reference-Cited by-同舟云学术

Driver Gene Expression Clustering Model for Prognostic Risk Estimation Using Cancer Genomic Data

Published:2024-07-02 Issue: Volume: Page:1576-1577
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Container-title:2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)
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Author:

Moi Sin-Hua¹,Lin Yu-Da²,Chen Yi-Ling³,Hung Chao-Ming⁴,Tsai Shin-Jiun⁵,Cheng Wei-Hong⁶

Affiliation:

1. Graduate Institute of Clinical Medicine, College of Medicine Kaohsiung Medical University,Kaohsiung,Taiwan

2. National Penghu University of Science and Technology,Department of Computer Science and Information Engineering,Penghu,Taiwan

3. National Kaohsiung University of Science and Technology,Department of Electronic Engineering,Kaohsiung,Taiwan

4. E-Da Cancer Hospital,Department of General Surgery,Kaohsiung,Taiwan

5. Taipei Medical University-Shung Ho hospital, Ministry of Health and Welfare,Clinical Research Center,New Taipei,Taiwan

6. Taipei Medical University-Shung Ho hospital, Ministry of Health and Welfare,Division of Hematology and Oncology,Departement of Internal Medicine,New Taipei,Taiwan

Funder

Ministry of Science and Technology, Taiwan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10633276/10633246/10633494.pdf?arnumber=10633494

Reference5 articles.

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5. An analysis of genetic heterogeneity in untreated cancers