Identification of Gene Regulatory Networks Associated with Breast Cancer Patient Survival Using an Interpretable Deep Neural Network Model
- Citation:
- Expert Systems With Applications vol 262 125632
- Year:
- 2024
- Type:
- Manuscript
- Funding:
- NCTN
- Endpoint:
- Secondary-not-in-original
- Analysis:
- Primary
- Data Sharing:
- Other-NOS
- Status:
- Presented/Published
- Citation Status:
- epreprint
- Note:
- Methodological:
- No
- Biospecimen:
- No
- SDC:
- No
- Book Volume:
- Parents:
- None
- Children:
- None
- Pharmas:
- Grants:
- U10CA180821, U10CA180882, UG1CA232760, UG1CA233373, R01GM148971, P30CA15083
- Corr. Author:
- Authors:
- Xue Wang Vivekananda Sarangi Daniel P. Wickland Shaoyu Li Duan Chen E. Aubrey Thompson Garrett Jenkinson Yan W. Asmann
- Networks:
- LAPS-MN026
- Study
- Multiple Studies, or Legacy Studies in Alliance Study:
- NCCTG-N9831
- Phases:
- 3
- Keywords:
- Neural network, Survival, Transcriptome, Breast cancer, SHAP value, Interferon gamma