Multi-omics analysis using machine learning and implications for cancer studies

被引：0
|
作者：
Asada, Ken [1 ,2 ]
Takasawa, Ken
Shiraishi, Kouya [3 ]
Horinouchi, Hidehito [4 ]
Yoshida, Yukihiro [5 ]
Mukai, Masami [6 ]
Shinkai, Norio [1 ,2 ,7 ]
Yatabe, Yasushi [8 ]
Kohno, Takashi [9 ]
Hamamoto, Ryuji [1 ,2 ,7 ]
机构：
[1] RIKEN Ctr AIP project, Canc Transl Res Team, Tokyo, Japan
[2] Natl Canc Ctr, Div Med AI Res Dev, Res Inst, Tokyo, Japan
[3] Natl Canc Ctr, Div Genome Biol, Res Inst, Tokyo, Japan
[4] Natl Canc Ctr, Dept Thorac Oncol, Tokyo, Japan
[5] Natl Canc Ctr, Dept Thorac Surg, Tokyo, Japan
[6] Natl Canc Ctr, Dept Med Info, Tokyo, Japan
[7] Tokyo Med Dent Univ, NCC Canc Sci, Tokyo, Japan
[8] Natl Canc Ctr, Dept Diagnost Pathol, Tokyo, Japan
[9] Natl Canc Ctr, Div Geneome Biol, C CAT, Res Inst, Tokyo, Japan
来源：
CANCER SCIENCE | 2023年 / 114卷
关键词：
D O I：
暂无
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
S8-6
引用
收藏
页码：231 / 231
页数：1
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