
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.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
