scBSP: a fast and accurate tool for identifying spatially variable features from high-resolution spatial omics data

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Publication Details

Journal
Bioinformatics
Published
2025-09-29
DOI
https://doi.org/10.1093/bioinformatics/btaf554
Citations
1
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.81

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article

scBSP: a fast and accurate tool for identifying spatially variable features from high-resolution spatial omics data

Jinpu Li, Li Su, Qin Ma, Ricardo Melo Ferreira et al.
1 citations
Bioinformatics
Single-cell and spatial transcriptomics
0.81
article

scBSP: a fast and accurate tool for identifying spatially variable features from high-resolution spatial omics data

Jinpu Li, Li Su, Qin Ma, Ricardo Melo Ferreira, Chunhui Xu, Michael T. Eadon, Juexin Wang, Dong He Xu, Yiqing Wang, Qi Guo, Mauminah Raina
article en
1 citations

Abstract

No abstract available for this paper.
BioinformaticsVol. 41(10)
University of Indianapolis (US), The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute (US), Indianapolis Zoo (US), The Ohio State University (US), Indiana University – Purdue University Indianapolis (US), University of Missouri (US)
Pelotonia, National Institutes of Health
Openalex Percentile: Top 23%
Single-cell and spatial transcriptomics
0.81
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scBSP: a fast and accurate tool for identifying spatially variable features from high-resolution spatial omics data — Jinpu Li, Li Su, et al. · Bioinformatics (2025) | TGRS Research Map | TGRS