Open AccessAbstract 5076: Comprehensive deep learning analysis of H&E tissue phenomics reveals distinct immune landscape and transcriptomic enrichment profile among immune inflamed, excluded and desert subtypes in non-small cell lung cancer
Author(s) -
Jonghanne Park,
ChanYoung Ock,
Kyunghyun Paeng,
Sehhoon Park,
Horyun Choi,
Dongyup Lee,
Gahyun Gim,
Sukjoo Cho,
Yoon La Choi,
SeHoon Lee,
Young Kwang Chae
Publication year - 2020
Publication title -
cancer research
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 1.055
H-Index - 84
eISSN - 1538-7445
pISSN - 0008-5472
DOI - 10.1158/1538-7445.am2020-5076
Subject(s) - immune system , medicine , lung cancer , transcriptome , immunotherapy , cancer , cancer research , biology , computational biology , immunology , oncology , gene , gene expression , genetics