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Spatial Transcriptomics Inc human hippocampus dataset
a Bright-field image and manually annotated segmentation of <t>hippocampus</t> layers and white matter (WM) in the human hippocampus. b Spatial clustering of hippocampal regions using MultiGATE, SpatialGlue, and Seurat WNN. Clustering performance is assessed using the Adjusted Rand Index (ARI), with higher values indicating greater clustering accuracy. c Box plots representing attention scores for peak–gene pairs across different genomic distances, grouped based on whether they are supported by expression quantitative trait loci (eQTL) evidence. The box plots indicate the medians (centerlines), means (triangles), first and third quartiles (bounds of boxes), and 1.5 × interquartile range (whiskers). Sample sizes per bin (False/True): 0–25 kb (621/222), 25–50 kb (479/88), 50–75 kb (461/78), 75–100 kb (469/44), 100–125 kb (446/30), 125–150 kb (405/29). d Receiver operating characteristic (ROC) curves comparing the performance of MultiGATE and other methods in predicting eQTL-associated regulatory interactions. e Visualization of MultiGATE-predicted cis-regulatory interactions for the target genes CA12 and PRKD3 along with eQTL evidence. Source data are provided as a Source Data file.
Human Hippocampus Dataset, supplied by Spatial Transcriptomics Inc, 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/spatial+transcriptomics+data+analysis/pmc12552752-274-3-12?v=Spatial+Transcriptomics+Inc
Average 86 stars, based on 1 article reviews
human hippocampus dataset - by Bioz Stars, 2026-08
86/100 stars

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1) Product Images from "MultiGATE: integrative analysis and regulatory inference in spatial multi-omics data via graph representation learning"

Article Title: MultiGATE: integrative analysis and regulatory inference in spatial multi-omics data via graph representation learning

Journal: Nature Communications

doi: 10.1038/s41467-025-63418-x

a Bright-field image and manually annotated segmentation of hippocampus layers and white matter (WM) in the human hippocampus. b Spatial clustering of hippocampal regions using MultiGATE, SpatialGlue, and Seurat WNN. Clustering performance is assessed using the Adjusted Rand Index (ARI), with higher values indicating greater clustering accuracy. c Box plots representing attention scores for peak–gene pairs across different genomic distances, grouped based on whether they are supported by expression quantitative trait loci (eQTL) evidence. The box plots indicate the medians (centerlines), means (triangles), first and third quartiles (bounds of boxes), and 1.5 × interquartile range (whiskers). Sample sizes per bin (False/True): 0–25 kb (621/222), 25–50 kb (479/88), 50–75 kb (461/78), 75–100 kb (469/44), 100–125 kb (446/30), 125–150 kb (405/29). d Receiver operating characteristic (ROC) curves comparing the performance of MultiGATE and other methods in predicting eQTL-associated regulatory interactions. e Visualization of MultiGATE-predicted cis-regulatory interactions for the target genes CA12 and PRKD3 along with eQTL evidence. Source data are provided as a Source Data file.
Figure Legend Snippet: a Bright-field image and manually annotated segmentation of hippocampus layers and white matter (WM) in the human hippocampus. b Spatial clustering of hippocampal regions using MultiGATE, SpatialGlue, and Seurat WNN. Clustering performance is assessed using the Adjusted Rand Index (ARI), with higher values indicating greater clustering accuracy. c Box plots representing attention scores for peak–gene pairs across different genomic distances, grouped based on whether they are supported by expression quantitative trait loci (eQTL) evidence. The box plots indicate the medians (centerlines), means (triangles), first and third quartiles (bounds of boxes), and 1.5 × interquartile range (whiskers). Sample sizes per bin (False/True): 0–25 kb (621/222), 25–50 kb (479/88), 50–75 kb (461/78), 75–100 kb (469/44), 100–125 kb (446/30), 125–150 kb (405/29). d Receiver operating characteristic (ROC) curves comparing the performance of MultiGATE and other methods in predicting eQTL-associated regulatory interactions. e Visualization of MultiGATE-predicted cis-regulatory interactions for the target genes CA12 and PRKD3 along with eQTL evidence. Source data are provided as a Source Data file.

Techniques Used: Expressing



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