scSurv: a deep generative model for single-cell survival analysis

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Publication Details

Journal
Bioinformatics
Published
2025-12-19
DOI
https://doi.org/10.1093/bioinformatics/btaf671
Citations
1
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.81

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article

scSurv: a deep generative model for single-cell survival analysis

Shuto Hayashi, Chikara Mizukoshi, Yasuhiro Kojima, Teppei Shimamura et al.
1 citations
Bioinformatics
Single-cell and spatial transcriptomics
0.81
article

scSurv: a deep generative model for single-cell survival analysis

Shuto Hayashi, Chikara Mizukoshi, Yasuhiro Kojima, Teppei Shimamura, Ko Abe, Daisuke Kasugai
article en
1 citations

Abstract

No abstract available for this paper.
BioinformaticsVol. 42(1)
Nagoya University Hospital (JP), Tokyo Metropolitan Institute of Medical Science (JP), National Cancer Research Institute (GB), Nagoya University (JP)
Japan Agency for Medical Research and Development, Japan Society for the Promotion of Science, Japan Science and Technology Agency, Core Research for Evolutional Science and Technology, Moonshot Research and Development Program
Openalex Percentile: Top 20%
Single-cell and spatial transcriptomics
0.81
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