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.
Citations
1 citations
Journal
Bioinformatics
Topics
Single-cell and spatial transcriptomics
Field-Weighted Citation Impact (FWCI)
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.
Publication Tag
BioinformaticsVol. 41(10)
Institutions
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)
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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