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

页码：231 / 231

页数：1

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