CeLLTra: aligning cell names with gene expression via a pathway-informed transformer

CeLLTra is freely available on GitHub (https://github.com/WJZheng-group/CeLLTra) and Zenodo (https://doi.org/10.5281/zenodo.17666735). The datasets underlying this article are the following: GSE201333 and GSE127465. All these datasets are publicly available and can be freely accessed on the Gene Expression Omnibus repository.

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Publication Details

Journal
Bioinformatics
Published
2025-12-04
DOI
https://doi.org/10.1093/bioinformatics/btaf655
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00
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article

CeLLTra: aligning cell names with gene expression via a pathway-informed transformer

Meer Asif Ali, Zaiyi Zheng, Li Zhao, Jundong Li et al.
Bioinformatics
Single-cell and spatial transcriptomics
article

CeLLTra: aligning cell names with gene expression via a pathway-informed transformer

Meer Asif Ali, Zaiyi Zheng, Li Zhao, Jundong Li, Yuntao Yang, Wenbo Chen, W Jim Zheng, Rongbin Li
article en

Abstract

CeLLTra is freely available on GitHub (https://github.com/WJZheng-group/CeLLTra) and Zenodo (https://doi.org/10.5281/zenodo.17666735). The datasets underlying this article are the following: GSE201333 and GSE127465. All these datasets are publicly available and can be freely accessed on the Gene Expression Omnibus repository.

BioinformaticsVol. 42(2)
The University of Texas MD Anderson Cancer Center (US), The University of Texas Health Science Center (US), University of Virginia (US), The University of Texas Health Science Center at Houston (US)
Openalex Percentile: Top 33%
Single-cell and spatial transcriptomics
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