Identification of Gene Regulatory Networks Associated with Breast Cancer Patient Survival Using an Interpretable Deep Neural Network Model
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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
Program:
OGC
Primary Committee:
Breast
Sec. Committees:
   
Pharmas:
 
Grants:
U10CA180821, U10CA180882, UG1CA232760, UG1CA233373, R01GM148971, P30CA15083  
Corr. Author:
 
Authors:
                 
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