Published March 15, 2026
| Version v1
Model
Open
The code and data for the work of Interpretability-guided simplification of breast cancer scRNA-seq model
Description
This archive contains the code, processed datasets, pretrained weights, and example notebooks associated with our study on interpretability-guided simplification for breast cancer scRNA-seq prediction. It covers both cell-level and tumor-level analyses based on Smart-seq2 and MULTI-seq data, together with preprocessing scripts and reproducible usage examples. The files are packaged here as a single compressed resource for preservation, sharing, and citation.
Files
breast_cancer_sc_simplification_resource.zip
Files
(13.7 GB)
| Name | Size | Download all |
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md5:920a2499c33f839cee61921247752be7
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13.7 GB | Preview Download |
Additional details
Funding
- National Natural Science Foundation of China
- 22203057