scBSP: A fast and accurate tool for identifying spatially variable genes from spatial transcriptomic data
Jinpu Li,
Yiqing Wang,
Mauminah Azam Raina
et al.
Abstract:Spatially resolved transcriptomics have enabled the inference of gene expression patterns within two and three-dimensional space, while introducing computational challenges due to growing spatial resolutions and sparse expressions. Here, we introduce scBSP, an open-source, versatile, and user-friendly package designed for identifying spatially variable genes in large-scale spatial transcriptomics. scBSP implements sparse matrix operation to significantly increase the computational efficiency in both computatio… Show more
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