Novel deep learning-based survival prediction for oral cancer by analyzing tumor-infiltrating lymphocyte profiles through CIBERSORT-Reference-Cited by-同舟云学术

Novel deep learning-based survival prediction for oral cancer by analyzing tumor-infiltrating lymphocyte profiles through CIBERSORT

Published:2021-01-01 Issue:1 Volume:10 Page:
ISSN:2162-402X
Container-title:OncoImmunology
language:en
Short-container-title:OncoImmunology

Author:

Kim Yeongjoo¹²,Kang Ji Wan¹²,Kang Junho¹²,Kwon Eun Jung¹²,Ha Mihyang¹²,Kim Yoon Kyeong¹²,Lee Hansong¹²,Rhee Je-Keun³,Kim Yun Hak²⁴

Affiliation:

1. Interdisplinary Program of Genomic Science, Pusan National University, Yangsan, Republic of Korea

2. Department of Biomedical Informatics, School of Medicine, Pusan National University, Yangsan, Republic of Korea

3. School of Systems Biomedical Science, Soongsil University, Seoul, Republic of Korea

4. Department of Anatomy, School of Medicine, Pusan National University, Yangsan, Republic of Korea

Funder

National Research Foundation of Korea

Publisher

Informa UK Limited

Subject

Oncology,Immunology,Immunology and Allergy

Link

https://www.tandfonline.com/doi/pdf/10.1080/2162402X.2021.1904573

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3. An Inflammation-Immunity Classifier of 11 Chemokines for Prediction of Overall Survival in Head and Neck Squamous Cell Carcinoma

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