Towards interpretable imaging genomics analysis: Methodological developments and applications

被引：6
|
作者：
Cen, Xiaoping [1 ,2 ,3 ]
Dong, Wei [3 ,5 ,14 ]
Lv, Wei [1 ,3 ]
Zhao, Yi [7 ]
Dubee, Fred [6 ]
Mentis, Alexios-Fotios A. [5 ]
Jovic, Dragomirka [6 ]
Yang, Huanming [1 ,3 ,4 ,15 ]
Li, Yixue [2 ,8 ,9 ,10 ,11 ,12 ,13 ]
机构：
[1] Univ Chinese Acad Sci, Coll Life Sci, Beijing 100049, Peoples R China
[2] Guangzhou Int Bio Isl, Guangzhou Lab, 9 XingDaoHuanBei Rd, Guangzhou 510005, Peoples R China
[3] Chinese Acad Sci, Zhejiang Canc Hosp, Hangzhou Inst Med HIM, HIM BGI Om Ctr, Hangzhou 310022, Peoples R China
[4] BGI China, Shenzhen 518083, Peoples R China
[5] BGI Res, Shenzhen 518083, Peoples R China
[6] BGI Res, Qingdao Europe Adv Inst Life Sci, Lars Bolund Inst Regenerat Med, Qingdao 266555, Peoples R China
[7] Chinese Acad Sci, Inst Comp Technol, Res Ctr Ubiquitous Comp Syst, Beijing 100190, Peoples R China
[8] Univ Chinese Acad Sci, Hangzhou Inst Adv Study, Sch Life Sci, Key Lab Syst Hlth Sci Zhejiang Prov, Hangzhou 310024, Peoples R China
[9] Guangzhou Med Univ, GMU GIBH Joint Sch Life Sci, Guangdong Hong Kong Macao Joint Lab Cell Fate Regu, Hong Kong 510120, Peoples R China
[10] Shanghai Jiao Tong Univ, Sch Life Sci & Biotechnol, Shanghai 200240, Peoples R China
[11] Chinese Acad Sci, Shanghai Inst Nutr & Hlth, Shanghai 200030, Peoples R China
[12] Fudan Univ, Collaborat Innovat Ctr Genet & Dev, Shanghai 200433, Peoples R China
[13] Shanghai Inst Biomed & Pharmaceut Technol, Shanghai 200032, Peoples R China
[14] BGI Genom, Clin Lab, Beijing 100000, Peoples R China
[15] James D Watson Inst Genome Sci, Hangzhou 310029, Peoples R China
来源：
INFORMATION FUSION | 2024年 / 102卷
关键词：
Interpretability; Imaging genomics; Genotype -phenotype association; Precision medicine; MULTIMODAL DATA INTEGRATION; REDUCED-RANK REGRESSION; RENAL-CELL CARCINOMA; CHINA BRAIN PROJECT; LOWER-GRADE GLIOMAS; BREAST-CANCER; ARTIFICIAL-INTELLIGENCE; HEPATOCELLULAR-CARCINOMA; MICROVASCULAR INVASION; RADIOGENOMIC ANALYSIS;
D O I：
10.1016/j.inffus.2023.102032
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Identifying the relationship between imaging features and genetic variation (a term coined"imaging genomics") offers valuable insight into the pathogenesis of cancer, as well as cognitive and psychiatric disorders. However, how to integrate-omics and imaging data in a biologically meaningful approach to both provide pathobiological underpinning and achieve clinical applications remain challenging. In this review, we aim to discuss the difficulties in combining different sources of data and explaining the genotype-phenotype association, and we attempt to discuss the potential applications of imaging genomics in several (patho)physiological questions to better understand human physiology and disease. Future efforts on deciphering the genotype-phenotype landscapes by interpretable imaging genomics analyses are needed to provide new insights into molecular biology and molecular medicine.
引用
收藏
页数：18
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