Automated quantification of tumor-infiltrating lymphocytes by machine learning reveals prognostic and immunogenomic features in lung cancer
A
Ang Li
(State Key Laboratory of Chemical Biology, Shanghai Institute of Organic Chemistry)
Y
Yutao Pang
H
Hongfei Zhang
D
Dong Wu
L
Liyao Lin
Z
Zhan He
Z
Zhu Liang
J
Jie Chen
F
Fasheng Li
Article Details
Journal
Scientific Reports
Volume / Issue
Vol. 16, Issue 1
Published
February 02, 2026
ISSN
2045-2322
Publisher
Nature Portfolio
Authors (9)
A
Ang Li
State Key Laboratory of Chemical Biology, Shanghai Institute of Organic Chemistry
Y
Yutao Pang
H
Hongfei Zhang
D
Dong Wu
L
Liyao Lin
Z
Zhan He
Z
Zhu Liang
J
Jie Chen
F
Fasheng Li
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