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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Principais autores:	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
格式:	Artigo
語言:	Inglês
出版:	BMC 2025-03-01
叢編:	Genome Biology
主題:	Spatial transcriptomics Benchmarking 10x Visium Multi-sample analysis Differential expression
在線閱讀:	https://doi.org/10.1186/s13059-025-03543-4
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