space ranger v1 3 1 analysis pipelines (10X Genomics)
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10X Genomics
space ranger v1 3 1 analysis pipelines
Space Ranger V1 3 1 Analysis Pipelines, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/space+ranger+analysis+pipeline/pmc13260059-79-6-14
Average 86 stars, based on 1 article reviews
Space Ranger V1 3 1 Analysis Pipelines, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/space+ranger+analysis+pipeline/pmc13260059-79-6-14
Average 86 stars, based on 1 article reviews
space ranger v1 3 1 analysis pipelines - by Bioz Stars,
2026-10
86/100 stars
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Sequencing:Article Title: Conserved spatial subtypes and cellular neighborhoods of cancer-associated fibroblasts revealed by single-cell spatial multi-omics. Article Snippet: In brief Through integrative analyses of singlecell spatial multi-omics datasets, Liu et al. identify four distinct spatial subtypes of cancer-associated fibroblasts, conserved across cancer types and independent of platforms.. These subtypes exhibit unique transcriptomic profiles, distinct interactions with neighboring cells, and correlations with tumor microenvironment characteristics and clinical outcomes. Expressing:Article Title: Conserved spatial subtypes and cellular neighborhoods of cancer-associated fibroblasts revealed by single-cell spatial multi-omics. Article Snippet: In brief Through integrative analyses of singlecell spatial multi-omics datasets, Liu et al. identify four distinct spatial subtypes of cancer-associated fibroblasts, conserved across cancer types and independent of platforms.. These subtypes exhibit unique transcriptomic profiles, distinct interactions with neighboring cells, and correlations with tumor microenvironment characteristics and clinical outcomes. Generated:Article Title: Conserved spatial subtypes and cellular neighborhoods of cancer-associated fibroblasts revealed by single-cell spatial multi-omics. Article Snippet: In brief Through integrative analyses of singlecell spatial multi-omics datasets, Liu et al. identify four distinct spatial subtypes of cancer-associated fibroblasts, conserved across cancer types and independent of platforms.. These subtypes exhibit unique transcriptomic profiles, distinct interactions with neighboring cells, and correlations with tumor microenvironment characteristics and clinical outcomes. |