spatial transcriptomics visium data Search Results


10x visium spatial transcriptomics data from human colorectal cancer  (10X Genomics)
90
10X Genomics 10x visium spatial transcriptomics data from human colorectal cancer
10x Visium Spatial Transcriptomics Data From Human Colorectal Cancer, 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 visium spatial transcriptomics data from human colorectal cancer/product/10X Genomics
Average 90 stars, based on 1 article reviews
10x visium spatial transcriptomics data from human colorectal cancer - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier
10x visium data  (Spatial Transcriptomics Inc)
90
Spatial Transcriptomics Inc 10x visium data
(A) The UMI counts of Slide-seq V2 data (right panel) displays the structure and the shape of hippocampus tissue, highly consistent with the image from Allen Reference Atlas (left panel) (B) The dominant cell type on each location inferred from four different deconvolution methods. Compared deconvolution methods include MuSiC, RCTD, SPOTlight, spatialDWLS, stereoscope and CARD. (C) Top panels display on each spatial location the proportion of each of the cell types inferred by CARD. Bottom panels display the expression levels of corresponding cell type specific marker genes. The examined cell types are CA1 cells, CA3 cells and dentate cells. (D) Bar plots display the comparisons of the mean gene expression level of marker genes in the major regions inferred by different deconvolution methods; (E) CARD imputes gene expression for four marker genes on a fine grid set of spatial locations, resulting in a refined spatial map of gene expression. (F) The proportion of each of the cell types on each location inferred by CARD in the <t>10x</t> <t>Visium</t> dataset. (G) The expression levels of corresponding cell type specific marker genes in the 10x Visium dataset.
10x Visium Data, 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 visium data/product/Spatial Transcriptomics Inc
Average 90 stars, based on 1 article reviews
10x visium data - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier
10x visium spatial transcriptome data brca1  (10X Genomics)
90
10X Genomics 10x visium spatial transcriptome data brca1
(A) The UMI counts of Slide-seq V2 data (right panel) displays the structure and the shape of hippocampus tissue, highly consistent with the image from Allen Reference Atlas (left panel) (B) The dominant cell type on each location inferred from four different deconvolution methods. Compared deconvolution methods include MuSiC, RCTD, SPOTlight, spatialDWLS, stereoscope and CARD. (C) Top panels display on each spatial location the proportion of each of the cell types inferred by CARD. Bottom panels display the expression levels of corresponding cell type specific marker genes. The examined cell types are CA1 cells, CA3 cells and dentate cells. (D) Bar plots display the comparisons of the mean gene expression level of marker genes in the major regions inferred by different deconvolution methods; (E) CARD imputes gene expression for four marker genes on a fine grid set of spatial locations, resulting in a refined spatial map of gene expression. (F) The proportion of each of the cell types on each location inferred by CARD in the <t>10x</t> <t>Visium</t> dataset. (G) The expression levels of corresponding cell type specific marker genes in the 10x Visium dataset.
10x Visium Spatial Transcriptome Data Brca1, 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 visium spatial transcriptome data brca1/product/10X Genomics
Average 90 stars, based on 1 article reviews
10x visium spatial transcriptome data brca1 - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier
visium data  (Spatial Transcriptomics Inc)
90
Spatial Transcriptomics Inc visium data
(A) The UMI counts of Slide-seq V2 data (right panel) displays the structure and the shape of hippocampus tissue, highly consistent with the image from Allen Reference Atlas (left panel) (B) The dominant cell type on each location inferred from four different deconvolution methods. Compared deconvolution methods include MuSiC, RCTD, SPOTlight, spatialDWLS, stereoscope and CARD. (C) Top panels display on each spatial location the proportion of each of the cell types inferred by CARD. Bottom panels display the expression levels of corresponding cell type specific marker genes. The examined cell types are CA1 cells, CA3 cells and dentate cells. (D) Bar plots display the comparisons of the mean gene expression level of marker genes in the major regions inferred by different deconvolution methods; (E) CARD imputes gene expression for four marker genes on a fine grid set of spatial locations, resulting in a refined spatial map of gene expression. (F) The proportion of each of the cell types on each location inferred by CARD in the <t>10x</t> <t>Visium</t> dataset. (G) The expression levels of corresponding cell type specific marker genes in the 10x Visium dataset.
Visium Data, 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/visium data/product/Spatial Transcriptomics Inc
Average 90 stars, based on 1 article reviews
visium data - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier
10x visium zebrafish melanoma spatial transcriptomics data  (10X Genomics)
90
10X Genomics 10x visium zebrafish melanoma spatial transcriptomics data
(A) The UMI counts of Slide-seq V2 data (right panel) displays the structure and the shape of hippocampus tissue, highly consistent with the image from Allen Reference Atlas (left panel) (B) The dominant cell type on each location inferred from four different deconvolution methods. Compared deconvolution methods include MuSiC, RCTD, SPOTlight, spatialDWLS, stereoscope and CARD. (C) Top panels display on each spatial location the proportion of each of the cell types inferred by CARD. Bottom panels display the expression levels of corresponding cell type specific marker genes. The examined cell types are CA1 cells, CA3 cells and dentate cells. (D) Bar plots display the comparisons of the mean gene expression level of marker genes in the major regions inferred by different deconvolution methods; (E) CARD imputes gene expression for four marker genes on a fine grid set of spatial locations, resulting in a refined spatial map of gene expression. (F) The proportion of each of the cell types on each location inferred by CARD in the <t>10x</t> <t>Visium</t> dataset. (G) The expression levels of corresponding cell type specific marker genes in the 10x Visium dataset.
10x Visium Zebrafish Melanoma Spatial Transcriptomics Data, 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 visium zebrafish melanoma spatial transcriptomics data/product/10X Genomics
Average 90 stars, based on 1 article reviews
10x visium zebrafish melanoma spatial transcriptomics data - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier
visium data analysis  (Spatial Transcriptomics Inc)
90
Spatial Transcriptomics Inc visium data analysis
(A) The UMI counts of Slide-seq V2 data (right panel) displays the structure and the shape of hippocampus tissue, highly consistent with the image from Allen Reference Atlas (left panel) (B) The dominant cell type on each location inferred from four different deconvolution methods. Compared deconvolution methods include MuSiC, RCTD, SPOTlight, spatialDWLS, stereoscope and CARD. (C) Top panels display on each spatial location the proportion of each of the cell types inferred by CARD. Bottom panels display the expression levels of corresponding cell type specific marker genes. The examined cell types are CA1 cells, CA3 cells and dentate cells. (D) Bar plots display the comparisons of the mean gene expression level of marker genes in the major regions inferred by different deconvolution methods; (E) CARD imputes gene expression for four marker genes on a fine grid set of spatial locations, resulting in a refined spatial map of gene expression. (F) The proportion of each of the cell types on each location inferred by CARD in the <t>10x</t> <t>Visium</t> dataset. (G) The expression levels of corresponding cell type specific marker genes in the 10x Visium dataset.
Visium Data Analysis, 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/visium data analysis/product/Spatial Transcriptomics Inc
Average 90 stars, based on 1 article reviews
visium data analysis - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier

Image Search Results


(A) The UMI counts of Slide-seq V2 data (right panel) displays the structure and the shape of hippocampus tissue, highly consistent with the image from Allen Reference Atlas (left panel) (B) The dominant cell type on each location inferred from four different deconvolution methods. Compared deconvolution methods include MuSiC, RCTD, SPOTlight, spatialDWLS, stereoscope and CARD. (C) Top panels display on each spatial location the proportion of each of the cell types inferred by CARD. Bottom panels display the expression levels of corresponding cell type specific marker genes. The examined cell types are CA1 cells, CA3 cells and dentate cells. (D) Bar plots display the comparisons of the mean gene expression level of marker genes in the major regions inferred by different deconvolution methods; (E) CARD imputes gene expression for four marker genes on a fine grid set of spatial locations, resulting in a refined spatial map of gene expression. (F) The proportion of each of the cell types on each location inferred by CARD in the 10x Visium dataset. (G) The expression levels of corresponding cell type specific marker genes in the 10x Visium dataset.

Journal: Nature biotechnology

Article Title: Spatially Informed Cell Type Deconvolution for Spatial Transcriptomics

doi: 10.1038/s41587-022-01273-7

Figure Lengend Snippet: (A) The UMI counts of Slide-seq V2 data (right panel) displays the structure and the shape of hippocampus tissue, highly consistent with the image from Allen Reference Atlas (left panel) (B) The dominant cell type on each location inferred from four different deconvolution methods. Compared deconvolution methods include MuSiC, RCTD, SPOTlight, spatialDWLS, stereoscope and CARD. (C) Top panels display on each spatial location the proportion of each of the cell types inferred by CARD. Bottom panels display the expression levels of corresponding cell type specific marker genes. The examined cell types are CA1 cells, CA3 cells and dentate cells. (D) Bar plots display the comparisons of the mean gene expression level of marker genes in the major regions inferred by different deconvolution methods; (E) CARD imputes gene expression for four marker genes on a fine grid set of spatial locations, resulting in a refined spatial map of gene expression. (F) The proportion of each of the cell types on each location inferred by CARD in the 10x Visium dataset. (G) The expression levels of corresponding cell type specific marker genes in the 10x Visium dataset.

Article Snippet: In addition, modeling spatial correlation allows CARD to impute cell type compositions as well as gene expression levels on new locations of the tissue, facilitating the construction of a refined spatial map with an arbitrarily high resolution for any spatial transcriptomics technologies -- both these features are in direct contrast to a recent method BayesSpace that can only enhance Spatial Transcriptomics (ST) or 10x Visium data with a fixed resolution of either six or nine times higher than that of the original.

Techniques: Expressing, Marker, Gene Expression