ArticleBMC bioinformatics2023
Single-cell spatial explorer: easy exploration of spatial and multimodal transcriptomics.
Article in BMC bioinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Spatial mapping of innate lymphoid cells in human lymphoid tissues and lymphoma at single-cell resolution.Nature communications · 2025Article
- Homebuilt Imaging-Based Spatial Transcriptomics: Tertiary Lymphoid Structures as a Case Example.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Farnesyltransferase inhibition overcomes oncogene-addicted non-small cell lung cancer adaptive resistance to targeted therapies.Nature communications · 2024Article
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Authors and funding
11 authors.
Funding
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Abstract
backgroundThe development of single-cell technologies yields large datasets of information as diverse and multimodal as transcriptomes, immunophenotypes, and spatial position from tissue sections in the so-called 'spatial transcriptomics'. Currently however, user-friendly, powerful, and free algorithmic tools for straightforward analysis of spatial transcriptomic datasets are scarce.
resultsHere, we introduce Single-Cell Spatial Explorer, an open-source software for multimodal exploration of spatial transcriptomics, examplified with 9 human and murine tissues datasets from 4 different technologies.
conclusionsSingle-Cell Spatial Explorer is a very powerful, versatile, and interoperable tool for spatial transcriptomics analysis.
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