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mouse coronal brain spatial dataset  (10X Genomics)

 
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    10X Genomics mouse coronal brain spatial dataset
    <t>Spatial</t> deconvolution and annotation performance of SSpMosaic across different tissue types (A) Anatomical structure of MOB layers from inner to outer: GCL, MCL, GL, and ONL. (B) Main cell-type inference by six deconvolution methods at each spot in MOB10 <t>dataset.</t> (C) Performance comparison of six deconvolution methods across 12 MOB slices using Accuracy, F1 scores, and Recall metrics. (D) Schematic illustration of <t>mouse</t> hippocampal organization and its three main cell types. (E) Metaprogram scores of SSpMosaic for three major hippocampal cell types in Visium HD mouse <t>brain</t> sections. (F) Expression levels of cell-type-specific markers (CA1: Wfs1 ; CA3: Chgb ; DG: Nedd4l ) for three main hippocampal cell types in Visium HD mouse brain data. (G) Main cell-type inference by six deconvolution methods at each spot in the hippocampal region of Visium HD mouse brain data. (H) Boxplots showing Pearson correlations between inference scores and corresponding marker expression levels for the three main hippocampal cell types across different methods in Visium HD mouse brain slices. (I) Cell-type inference by SSpMosaic in CosMx human NSCLC data. (J) Spatial expression patterns of markers for four major cell types in NSCLC data. (K) Spatial domains identified through clustering based on SSpMosaic-inferred cell types in NSCLC data. (L) Stacked bar plot showing the proportion of different cell types within each spatial domain in NSCLC data. (M) Right: spatial domain annotations; left: intercellular communication networks between different spatial regions in NSCLC data. Line thickness represents communication strength. (N) Bubble plot showing signaling pathway communication probabilities between different spatial regions.
    Mouse Coronal Brain Spatial Dataset, 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/mouse+coronal+brain+spatial+dataset/pmc13069864-15-0-6?v=10X+Genomics
    Average 86 stars, based on 1 article reviews
    mouse coronal brain spatial dataset - by Bioz Stars, 2026-07
    86/100 stars

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    1) Product Images from "Robust integration and annotation of single-cell and spatial omics data using interpretable gene programs"

    Article Title: Robust integration and annotation of single-cell and spatial omics data using interpretable gene programs

    Journal: Cell Genomics

    doi: 10.1016/j.xgen.2025.101105

    Spatial deconvolution and annotation performance of SSpMosaic across different tissue types (A) Anatomical structure of MOB layers from inner to outer: GCL, MCL, GL, and ONL. (B) Main cell-type inference by six deconvolution methods at each spot in MOB10 dataset. (C) Performance comparison of six deconvolution methods across 12 MOB slices using Accuracy, F1 scores, and Recall metrics. (D) Schematic illustration of mouse hippocampal organization and its three main cell types. (E) Metaprogram scores of SSpMosaic for three major hippocampal cell types in Visium HD mouse brain sections. (F) Expression levels of cell-type-specific markers (CA1: Wfs1 ; CA3: Chgb ; DG: Nedd4l ) for three main hippocampal cell types in Visium HD mouse brain data. (G) Main cell-type inference by six deconvolution methods at each spot in the hippocampal region of Visium HD mouse brain data. (H) Boxplots showing Pearson correlations between inference scores and corresponding marker expression levels for the three main hippocampal cell types across different methods in Visium HD mouse brain slices. (I) Cell-type inference by SSpMosaic in CosMx human NSCLC data. (J) Spatial expression patterns of markers for four major cell types in NSCLC data. (K) Spatial domains identified through clustering based on SSpMosaic-inferred cell types in NSCLC data. (L) Stacked bar plot showing the proportion of different cell types within each spatial domain in NSCLC data. (M) Right: spatial domain annotations; left: intercellular communication networks between different spatial regions in NSCLC data. Line thickness represents communication strength. (N) Bubble plot showing signaling pathway communication probabilities between different spatial regions.
    Figure Legend Snippet: Spatial deconvolution and annotation performance of SSpMosaic across different tissue types (A) Anatomical structure of MOB layers from inner to outer: GCL, MCL, GL, and ONL. (B) Main cell-type inference by six deconvolution methods at each spot in MOB10 dataset. (C) Performance comparison of six deconvolution methods across 12 MOB slices using Accuracy, F1 scores, and Recall metrics. (D) Schematic illustration of mouse hippocampal organization and its three main cell types. (E) Metaprogram scores of SSpMosaic for three major hippocampal cell types in Visium HD mouse brain sections. (F) Expression levels of cell-type-specific markers (CA1: Wfs1 ; CA3: Chgb ; DG: Nedd4l ) for three main hippocampal cell types in Visium HD mouse brain data. (G) Main cell-type inference by six deconvolution methods at each spot in the hippocampal region of Visium HD mouse brain data. (H) Boxplots showing Pearson correlations between inference scores and corresponding marker expression levels for the three main hippocampal cell types across different methods in Visium HD mouse brain slices. (I) Cell-type inference by SSpMosaic in CosMx human NSCLC data. (J) Spatial expression patterns of markers for four major cell types in NSCLC data. (K) Spatial domains identified through clustering based on SSpMosaic-inferred cell types in NSCLC data. (L) Stacked bar plot showing the proportion of different cell types within each spatial domain in NSCLC data. (M) Right: spatial domain annotations; left: intercellular communication networks between different spatial regions in NSCLC data. Line thickness represents communication strength. (N) Bubble plot showing signaling pathway communication probabilities between different spatial regions.

    Techniques Used: Comparison, Expressing, Marker



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    mouse coronal brain spatial dataset  (10X Genomics)
    86
    10X Genomics mouse coronal brain spatial dataset
    <t>Spatial</t> deconvolution and annotation performance of SSpMosaic across different tissue types (A) Anatomical structure of MOB layers from inner to outer: GCL, MCL, GL, and ONL. (B) Main cell-type inference by six deconvolution methods at each spot in MOB10 <t>dataset.</t> (C) Performance comparison of six deconvolution methods across 12 MOB slices using Accuracy, F1 scores, and Recall metrics. (D) Schematic illustration of <t>mouse</t> hippocampal organization and its three main cell types. (E) Metaprogram scores of SSpMosaic for three major hippocampal cell types in Visium HD mouse <t>brain</t> sections. (F) Expression levels of cell-type-specific markers (CA1: Wfs1 ; CA3: Chgb ; DG: Nedd4l ) for three main hippocampal cell types in Visium HD mouse brain data. (G) Main cell-type inference by six deconvolution methods at each spot in the hippocampal region of Visium HD mouse brain data. (H) Boxplots showing Pearson correlations between inference scores and corresponding marker expression levels for the three main hippocampal cell types across different methods in Visium HD mouse brain slices. (I) Cell-type inference by SSpMosaic in CosMx human NSCLC data. (J) Spatial expression patterns of markers for four major cell types in NSCLC data. (K) Spatial domains identified through clustering based on SSpMosaic-inferred cell types in NSCLC data. (L) Stacked bar plot showing the proportion of different cell types within each spatial domain in NSCLC data. (M) Right: spatial domain annotations; left: intercellular communication networks between different spatial regions in NSCLC data. Line thickness represents communication strength. (N) Bubble plot showing signaling pathway communication probabilities between different spatial regions.
    Mouse Coronal Brain Spatial Dataset, 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/mouse+coronal+brain+spatial+dataset/pmc13069864-15-0-6?v=10X+Genomics
    Average 86 stars, based on 1 article reviews
    mouse coronal brain spatial dataset - by Bioz Stars, 2026-07
    86/100 stars
    		  Buy from Supplier

    Image Search Results


    Spatial deconvolution and annotation performance of SSpMosaic across different tissue types (A) Anatomical structure of MOB layers from inner to outer: GCL, MCL, GL, and ONL. (B) Main cell-type inference by six deconvolution methods at each spot in MOB10 dataset. (C) Performance comparison of six deconvolution methods across 12 MOB slices using Accuracy, F1 scores, and Recall metrics. (D) Schematic illustration of mouse hippocampal organization and its three main cell types. (E) Metaprogram scores of SSpMosaic for three major hippocampal cell types in Visium HD mouse brain sections. (F) Expression levels of cell-type-specific markers (CA1: Wfs1 ; CA3: Chgb ; DG: Nedd4l ) for three main hippocampal cell types in Visium HD mouse brain data. (G) Main cell-type inference by six deconvolution methods at each spot in the hippocampal region of Visium HD mouse brain data. (H) Boxplots showing Pearson correlations between inference scores and corresponding marker expression levels for the three main hippocampal cell types across different methods in Visium HD mouse brain slices. (I) Cell-type inference by SSpMosaic in CosMx human NSCLC data. (J) Spatial expression patterns of markers for four major cell types in NSCLC data. (K) Spatial domains identified through clustering based on SSpMosaic-inferred cell types in NSCLC data. (L) Stacked bar plot showing the proportion of different cell types within each spatial domain in NSCLC data. (M) Right: spatial domain annotations; left: intercellular communication networks between different spatial regions in NSCLC data. Line thickness represents communication strength. (N) Bubble plot showing signaling pathway communication probabilities between different spatial regions.

    Journal: Cell Genomics

    Article Title: Robust integration and annotation of single-cell and spatial omics data using interpretable gene programs

    doi: 10.1016/j.xgen.2025.101105

    Figure Lengend Snippet: Spatial deconvolution and annotation performance of SSpMosaic across different tissue types (A) Anatomical structure of MOB layers from inner to outer: GCL, MCL, GL, and ONL. (B) Main cell-type inference by six deconvolution methods at each spot in MOB10 dataset. (C) Performance comparison of six deconvolution methods across 12 MOB slices using Accuracy, F1 scores, and Recall metrics. (D) Schematic illustration of mouse hippocampal organization and its three main cell types. (E) Metaprogram scores of SSpMosaic for three major hippocampal cell types in Visium HD mouse brain sections. (F) Expression levels of cell-type-specific markers (CA1: Wfs1 ; CA3: Chgb ; DG: Nedd4l ) for three main hippocampal cell types in Visium HD mouse brain data. (G) Main cell-type inference by six deconvolution methods at each spot in the hippocampal region of Visium HD mouse brain data. (H) Boxplots showing Pearson correlations between inference scores and corresponding marker expression levels for the three main hippocampal cell types across different methods in Visium HD mouse brain slices. (I) Cell-type inference by SSpMosaic in CosMx human NSCLC data. (J) Spatial expression patterns of markers for four major cell types in NSCLC data. (K) Spatial domains identified through clustering based on SSpMosaic-inferred cell types in NSCLC data. (L) Stacked bar plot showing the proportion of different cell types within each spatial domain in NSCLC data. (M) Right: spatial domain annotations; left: intercellular communication networks between different spatial regions in NSCLC data. Line thickness represents communication strength. (N) Bubble plot showing signaling pathway communication probabilities between different spatial regions.

    Article Snippet: Mouse coronal brain spatial dataset , 10X Genomics , https://www.10xgenomics.com/datasets/visium-hd-cytassist-gene-expression-libraries-of-mouse-brain-he.

    Techniques: Comparison, Expressing, Marker