Benchmarking spatial transcriptomics technologies with the multi-sample SpatialBenchVisium dataset

Benchmarking spatial transcriptomics technologies with the multi-sample SpatialBenchVisium dataset

Abstract Background Spatial transcriptomics allows gene expression to be measured within complex tissue contexts. Among the array of spatial capture technologies available is 10x Genomics’ Visium platform, a popular method which enables transcriptome-wide profiling of tissue sections. Visium offers...

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Main Authors: Mei R. M. Du, Changqing Wang, Charity W. Law, Daniela Amann-Zalcenstein, Casey J. A. Anttila, Ling Ling, Peter F. Hickey, Callum J. Sargeant, Yunshun Chen, Lisa J. Ioannidis, Pradeep Rajasekhar, Raymond K. H. Yip, Kelly L. Rogers, Diana S. Hansen, Rory Bowden, Matthew E. Ritchie
Format: Article
Language:English
Published: BMC 2025-03-01
Series:Genome Biology
Subjects:
Spatial transcriptomics
Benchmarking
10x Visium
Multi-sample analysis
Differential expression
Online Access:https://doi.org/10.1186/s13059-025-03543-4
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https://doi.org/10.1186/s13059-025-03543-4

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