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Advances in computational methods enhance spatial transcriptomics analysis and 3D tissue reconstruction
Recent developments in computational frameworks and benchmarking methods are improving the analysis of spatial transcriptomics (ST) data, which maps gene expression within tissue architecture.
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- bioRxiv (all subjects)biorxiv.org
- Frequency-domain kernels enable atlas-scale detection of spatially variable genesbioRxiv (all subjects)
- SpotGraphs: Graph-based analysis of spatially resolved transcriptional data in RbioRxiv (all subjects)
- An explanatory benchmark of spatial domain detection reveals key drivers of method performancebioRxiv (all subjects)