CellsFromSpace: A fast, accurate and reference-free tool to deconvolve and annotate spatially distributed Omics data

Abstract excerpt

Spatial transcriptomics involves capturing the transcriptomic profiles of millions of cells within their spatial contexts, enabling the analysis of cell crosstalk in healthy and diseased organs. However, spatial transcriptomics also raises new computational challenges for analyzing multidimensional data associated with spatial coordinates. In this context, we introduce a novel framework called CellsFromSpace. This...

Topics

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• Algorithms
• Cancer Genomics and Diagnostics
• Cluster Analysis
• Ferroptosis and cancer prognosis
• Neural Networks, Computer
• Pancreatic and Hepatic Oncology Research
• Phenotype
• Single-cell and spatial transcriptomics

Identifiers and source

Literature Corpus work

b488ff90-cc36-5c1f-9f2b-09582990a83d

DOI

10.1101/2023.08.30.555558