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Model . 2026
License: CC BY
Data sources: Datacite
ZENODO
Model . 2026
License: CC BY
Data sources: Datacite
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The code and data for the work of Interpretability-guided simplification of breast cancer scRNA-seq model

Authors: Runyu, Jing;

The code and data for the work of Interpretability-guided simplification of breast cancer scRNA-seq model

Abstract

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.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Cancer Research