10x xenium Search Results


xenium analyzer xoa v.3.0.2  (10X Genomics)
90
10X Genomics xenium analyzer xoa v.3.0.2
Xenium Analyzer Xoa V.3.0.2, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/xenium analyzer xoa v.3.0.2/product/10X Genomics
Average 90 stars, based on 1 article reviews
xenium analyzer xoa v.3.0.2 - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
10x xenium  (Spatial Transcriptomics Inc)
90
Spatial Transcriptomics Inc 10x xenium
10x Xenium, supplied by Spatial Transcriptomics Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/10x xenium/product/Spatial Transcriptomics Inc
Average 90 stars, based on 1 article reviews
10x xenium - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
assembled in xenium cassettes  (10X Genomics)
90
10X Genomics assembled in xenium cassettes
Assembled In Xenium Cassettes, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/assembled in xenium cassettes/product/10X Genomics
Average 90 stars, based on 1 article reviews
assembled in xenium cassettes - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
xenium analyzer 1000481  (10X Genomics)
90
10X Genomics xenium analyzer 1000481
Xenium Analyzer 1000481, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/xenium analyzer 1000481/product/10X Genomics
Average 90 stars, based on 1 article reviews
xenium analyzer 1000481 - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
10x genomics xenium slide  (10X Genomics)
90
10X Genomics 10x genomics xenium slide
10x Genomics Xenium Slide, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/10x genomics xenium slide/product/10X Genomics
Average 90 stars, based on 1 article reviews
10x genomics xenium slide - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
xenium human 422-gene panel  (10X Genomics)
90
10X Genomics xenium human 422-gene panel
Xenium Human 422 Gene Panel, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/xenium human 422-gene panel/product/10X Genomics
Average 90 stars, based on 1 article reviews
xenium human 422-gene panel - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
human breast cancer xenium dataset  (10X Genomics)
90
10X Genomics human breast cancer xenium dataset
a overview of Redeconve workflow for deconvoluting spatial transcriptomics data. Redeconve requires sc/snRNA-seq data together with spatial transcriptomics data as input and performs deconvolution by solving a regularized non-negative least regression model with the aims to estimate cellular composition across spots at single-cell resolution. b heatmap illustrated median spot-level Spearman’s correlation of cell type proportions among different algorithms on a <t>human</t> <t>breast</t> <t>cancer</t> <t>dataset.</t> c Sankey diagram demonstrated the cell-type and single-cell resolutions of Redeconve results on human breast cancer and mouse cerebellum datasets, respectively. The bar height of cell types or single cells refer to their estimated abundance after deconvolution. d line chart of cosine similarities between observed and reconstructed expression profiles per spot based on six ST datasets. N = 4039, 2426, 428, 36550, 2987 and 39431 spots for human lymph nodes, human breast cancer, PDAC (pancreatic ductal adenocarcinoma), human testis, mouse brain and mouse cerebellum respaectively. Spots were sorted by an ascending order of the cosine similarities. e Pearson correlation of cell abundances between Redeconve and the cell counts per spot based on a mouse brain dataset. The ground truth cell counts per spot was obtained by nucleus counting of cell segmentation image . f computational efficiency of different deconvolution-based and mapping-based algorithms on a human lymph nodes dataset. Source data of 1c-e are provided as a file.
Human Breast Cancer Xenium Dataset, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/human breast cancer xenium dataset/product/10X Genomics
Average 90 stars, based on 1 article reviews
human breast cancer xenium dataset - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
xenium datasets in situ replicate 1  (10X Genomics)
90
10X Genomics xenium datasets in situ replicate 1
a overview of Redeconve workflow for deconvoluting spatial transcriptomics data. Redeconve requires sc/snRNA-seq data together with spatial transcriptomics data as input and performs deconvolution by solving a regularized non-negative least regression model with the aims to estimate cellular composition across spots at single-cell resolution. b heatmap illustrated median spot-level Spearman’s correlation of cell type proportions among different algorithms on a <t>human</t> <t>breast</t> <t>cancer</t> <t>dataset.</t> c Sankey diagram demonstrated the cell-type and single-cell resolutions of Redeconve results on human breast cancer and mouse cerebellum datasets, respectively. The bar height of cell types or single cells refer to their estimated abundance after deconvolution. d line chart of cosine similarities between observed and reconstructed expression profiles per spot based on six ST datasets. N = 4039, 2426, 428, 36550, 2987 and 39431 spots for human lymph nodes, human breast cancer, PDAC (pancreatic ductal adenocarcinoma), human testis, mouse brain and mouse cerebellum respaectively. Spots were sorted by an ascending order of the cosine similarities. e Pearson correlation of cell abundances between Redeconve and the cell counts per spot based on a mouse brain dataset. The ground truth cell counts per spot was obtained by nucleus counting of cell segmentation image . f computational efficiency of different deconvolution-based and mapping-based algorithms on a human lymph nodes dataset. Source data of 1c-e are provided as a file.
Xenium Datasets In Situ Replicate 1, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/xenium datasets in situ replicate 1/product/10X Genomics
Average 90 stars, based on 1 article reviews
xenium datasets in situ replicate 1 - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
10x genomics xenium pre-release breast cancer dataset  (10X Genomics)
90
10X Genomics 10x genomics xenium pre-release breast cancer dataset
a overview of Redeconve workflow for deconvoluting spatial transcriptomics data. Redeconve requires sc/snRNA-seq data together with spatial transcriptomics data as input and performs deconvolution by solving a regularized non-negative least regression model with the aims to estimate cellular composition across spots at single-cell resolution. b heatmap illustrated median spot-level Spearman’s correlation of cell type proportions among different algorithms on a <t>human</t> <t>breast</t> <t>cancer</t> <t>dataset.</t> c Sankey diagram demonstrated the cell-type and single-cell resolutions of Redeconve results on human breast cancer and mouse cerebellum datasets, respectively. The bar height of cell types or single cells refer to their estimated abundance after deconvolution. d line chart of cosine similarities between observed and reconstructed expression profiles per spot based on six ST datasets. N = 4039, 2426, 428, 36550, 2987 and 39431 spots for human lymph nodes, human breast cancer, PDAC (pancreatic ductal adenocarcinoma), human testis, mouse brain and mouse cerebellum respaectively. Spots were sorted by an ascending order of the cosine similarities. e Pearson correlation of cell abundances between Redeconve and the cell counts per spot based on a mouse brain dataset. The ground truth cell counts per spot was obtained by nucleus counting of cell segmentation image . f computational efficiency of different deconvolution-based and mapping-based algorithms on a human lymph nodes dataset. Source data of 1c-e are provided as a file.
10x Genomics Xenium Pre Release Breast Cancer Dataset, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/10x genomics xenium pre-release breast cancer dataset/product/10X Genomics
Average 90 stars, based on 1 article reviews
10x genomics xenium pre-release breast cancer dataset - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
xenium in-situ  (10X Genomics)
90
10X Genomics xenium in-situ
a overview of Redeconve workflow for deconvoluting spatial transcriptomics data. Redeconve requires sc/snRNA-seq data together with spatial transcriptomics data as input and performs deconvolution by solving a regularized non-negative least regression model with the aims to estimate cellular composition across spots at single-cell resolution. b heatmap illustrated median spot-level Spearman’s correlation of cell type proportions among different algorithms on a <t>human</t> <t>breast</t> <t>cancer</t> <t>dataset.</t> c Sankey diagram demonstrated the cell-type and single-cell resolutions of Redeconve results on human breast cancer and mouse cerebellum datasets, respectively. The bar height of cell types or single cells refer to their estimated abundance after deconvolution. d line chart of cosine similarities between observed and reconstructed expression profiles per spot based on six ST datasets. N = 4039, 2426, 428, 36550, 2987 and 39431 spots for human lymph nodes, human breast cancer, PDAC (pancreatic ductal adenocarcinoma), human testis, mouse brain and mouse cerebellum respaectively. Spots were sorted by an ascending order of the cosine similarities. e Pearson correlation of cell abundances between Redeconve and the cell counts per spot based on a mouse brain dataset. The ground truth cell counts per spot was obtained by nucleus counting of cell segmentation image . f computational efficiency of different deconvolution-based and mapping-based algorithms on a human lymph nodes dataset. Source data of 1c-e are provided as a file.
Xenium In Situ, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/xenium in-situ/product/10X Genomics
Average 90 stars, based on 1 article reviews
xenium in-situ - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
xenium explorer 1.3.0  (10X Genomics)
90
10X Genomics xenium explorer 1.3.0
a overview of Redeconve workflow for deconvoluting spatial transcriptomics data. Redeconve requires sc/snRNA-seq data together with spatial transcriptomics data as input and performs deconvolution by solving a regularized non-negative least regression model with the aims to estimate cellular composition across spots at single-cell resolution. b heatmap illustrated median spot-level Spearman’s correlation of cell type proportions among different algorithms on a <t>human</t> <t>breast</t> <t>cancer</t> <t>dataset.</t> c Sankey diagram demonstrated the cell-type and single-cell resolutions of Redeconve results on human breast cancer and mouse cerebellum datasets, respectively. The bar height of cell types or single cells refer to their estimated abundance after deconvolution. d line chart of cosine similarities between observed and reconstructed expression profiles per spot based on six ST datasets. N = 4039, 2426, 428, 36550, 2987 and 39431 spots for human lymph nodes, human breast cancer, PDAC (pancreatic ductal adenocarcinoma), human testis, mouse brain and mouse cerebellum respaectively. Spots were sorted by an ascending order of the cosine similarities. e Pearson correlation of cell abundances between Redeconve and the cell counts per spot based on a mouse brain dataset. The ground truth cell counts per spot was obtained by nucleus counting of cell segmentation image . f computational efficiency of different deconvolution-based and mapping-based algorithms on a human lymph nodes dataset. Source data of 1c-e are provided as a file.
Xenium Explorer 1.3.0, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/xenium explorer 1.3.0/product/10X Genomics
Average 90 stars, based on 1 article reviews
xenium explorer 1.3.0 - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
xenium panel designer  (10X Genomics)
90
10X Genomics xenium panel designer
a overview of Redeconve workflow for deconvoluting spatial transcriptomics data. Redeconve requires sc/snRNA-seq data together with spatial transcriptomics data as input and performs deconvolution by solving a regularized non-negative least regression model with the aims to estimate cellular composition across spots at single-cell resolution. b heatmap illustrated median spot-level Spearman’s correlation of cell type proportions among different algorithms on a <t>human</t> <t>breast</t> <t>cancer</t> <t>dataset.</t> c Sankey diagram demonstrated the cell-type and single-cell resolutions of Redeconve results on human breast cancer and mouse cerebellum datasets, respectively. The bar height of cell types or single cells refer to their estimated abundance after deconvolution. d line chart of cosine similarities between observed and reconstructed expression profiles per spot based on six ST datasets. N = 4039, 2426, 428, 36550, 2987 and 39431 spots for human lymph nodes, human breast cancer, PDAC (pancreatic ductal adenocarcinoma), human testis, mouse brain and mouse cerebellum respaectively. Spots were sorted by an ascending order of the cosine similarities. e Pearson correlation of cell abundances between Redeconve and the cell counts per spot based on a mouse brain dataset. The ground truth cell counts per spot was obtained by nucleus counting of cell segmentation image . f computational efficiency of different deconvolution-based and mapping-based algorithms on a human lymph nodes dataset. Source data of 1c-e are provided as a file.
Xenium Panel Designer, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/xenium panel designer/product/10X Genomics
Average 90 stars, based on 1 article reviews
xenium panel designer - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

Image Search Results


a overview of Redeconve workflow for deconvoluting spatial transcriptomics data. Redeconve requires sc/snRNA-seq data together with spatial transcriptomics data as input and performs deconvolution by solving a regularized non-negative least regression model with the aims to estimate cellular composition across spots at single-cell resolution. b heatmap illustrated median spot-level Spearman’s correlation of cell type proportions among different algorithms on a human breast cancer dataset. c Sankey diagram demonstrated the cell-type and single-cell resolutions of Redeconve results on human breast cancer and mouse cerebellum datasets, respectively. The bar height of cell types or single cells refer to their estimated abundance after deconvolution. d line chart of cosine similarities between observed and reconstructed expression profiles per spot based on six ST datasets. N = 4039, 2426, 428, 36550, 2987 and 39431 spots for human lymph nodes, human breast cancer, PDAC (pancreatic ductal adenocarcinoma), human testis, mouse brain and mouse cerebellum respaectively. Spots were sorted by an ascending order of the cosine similarities. e Pearson correlation of cell abundances between Redeconve and the cell counts per spot based on a mouse brain dataset. The ground truth cell counts per spot was obtained by nucleus counting of cell segmentation image . f computational efficiency of different deconvolution-based and mapping-based algorithms on a human lymph nodes dataset. Source data of 1c-e are provided as a file.

Journal: Nature Communications

Article Title: Spatial transcriptomics deconvolution at single-cell resolution using Redeconve

doi: 10.1038/s41467-023-43600-9

Figure Lengend Snippet: a overview of Redeconve workflow for deconvoluting spatial transcriptomics data. Redeconve requires sc/snRNA-seq data together with spatial transcriptomics data as input and performs deconvolution by solving a regularized non-negative least regression model with the aims to estimate cellular composition across spots at single-cell resolution. b heatmap illustrated median spot-level Spearman’s correlation of cell type proportions among different algorithms on a human breast cancer dataset. c Sankey diagram demonstrated the cell-type and single-cell resolutions of Redeconve results on human breast cancer and mouse cerebellum datasets, respectively. The bar height of cell types or single cells refer to their estimated abundance after deconvolution. d line chart of cosine similarities between observed and reconstructed expression profiles per spot based on six ST datasets. N = 4039, 2426, 428, 36550, 2987 and 39431 spots for human lymph nodes, human breast cancer, PDAC (pancreatic ductal adenocarcinoma), human testis, mouse brain and mouse cerebellum respaectively. Spots were sorted by an ascending order of the cosine similarities. e Pearson correlation of cell abundances between Redeconve and the cell counts per spot based on a mouse brain dataset. The ground truth cell counts per spot was obtained by nucleus counting of cell segmentation image . f computational efficiency of different deconvolution-based and mapping-based algorithms on a human lymph nodes dataset. Source data of 1c-e are provided as a file.

Article Snippet: The Human Breast Cancer Xenium dataset is available at https://www.10xgenomics.com/products/xenium-in-situ/preview-dataset-human-breast .

Techniques: Expressing