Identifying lncRNAs and mRNAs related to survival of NSCLC based on bioinformatic analysis and machine learning-Reference-Cited by-同舟云学术

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Identifying lncRNAs and mRNAs related to survival of NSCLC based on bioinformatic analysis and machine learning

Published:2024-05-01 Issue: Volume: Page:
ISSN:1945-4589
Container-title:Aging
language:en
Short-container-title:Aging

Author:

Yue Wei¹,Wang Jing¹,Lin Bo¹²,Fu Yongping³

Affiliation:

1. Innovation Centre for Information, Binjiang Institute of Zhejiang University, Hangzhou 310053, China

2. College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China

3. Department of Cardiovascular Medicine, Affiliated Hospital of Shaoxing University, Shaoxing 312099, China

Publisher

Impact Journals, LLC

Reference52 articles.

1. Molecular Pathology of Lung Cancer.;Roy-Chowdhuri;Surg Pathol Clin,2021

2. Cancer statistics in China and United States, 2022: profiles, trends, and determinants.;Chen;Chin Med J (Engl),2022

3. Cancer burden in China: trends, risk factors and prevention.;Chen;Cancer Biol Med,2020

4. Machine Learning for Lung Cancer Diagnosis, Treatment, and Prognosis.;Luo;Genomics Proteomics Bioinformatics,2022

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