GE-IA-NAM: gene–environment interaction analysis via imaging-assisted neural additive model
Python code implementing the proposed method is available at https://github.com/Mr-maoge/NAM-IA-GE. The data that support the findings in this article are openly available in TCGA (The Cancer Genome Atlas) at https://portal.gdc.cancer.gov/.
Authors
- Jingmao Li
- Kuangnan Fang (ORCID: https://orcid.org/0000-0003-0934-7281)
- Yaqing Xu
- Shuangge Ma
Institutions
- Shanghai Jiao Tong University (CN)
- Xiamen University (CN)
- Shanghai Mental Health Center (CN)
- Yale University (US)
- Yale New Haven Health System (US)
- Xiamen University of Technology (CN)
Publication Details
- Journal
- Bioinformatics
- Published
- 2025-08-29
- DOI
- https://doi.org/10.1093/bioinformatics/btaf481
- Citations
- 1
- Primary Topic
- Bioinformatics and Genomic Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- National Natural Science Foundation of China
- Ministry of Education, India
- National Institutes of Health