human hippocampus dataset (Spatial Transcriptomics Inc)
86
Structured Review
Spatial Transcriptomics Inc
human hippocampus dataset
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+st+data/breast+data+her2+human+positive+spatial+transcriptomics+tumor/pmc12552752-274-3-12
Average 86 stars, based on 1 article reviews
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+st+data/breast+data+her2+human+positive+spatial+transcriptomics+tumor/pmc12552752-274-3-12
Average 86 stars, based on 1 article reviews
human hippocampus dataset - by Bioz Stars,
2026-09
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
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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other:Article Title: MultiGATE: integrative analysis and regulatory inference in spatial multi-omics data via graph representation learning Article Snippet: For the adult human hippocampus dataset (spatial ATAC–RNA–seq), the Article Title: Bridging cell morphological behaviors and molecular dynamics in multi-modal spatial omics with MorphLink Article Snippet: Publicly available data were acquired from the following websites or accession numbers: (1) human bladder tumor 10x Visium data (GEO repository: GSE246011 ); (2) zebrafish melanoma 10x Visium data (GEO repository: GSE159709 ); (3) human tonsil spatial CITE-seq data ( https://www.10xgenomics.com/datasets/gene-protein-expression-library-of-human-tonsil-cytassist-ffpe-2-standard ); (4) Functional Assay:Article Title: A spatially informed matrix normal model for gene co-expression analysis in spatial transcriptomics studies. Article Snippet: .. 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The original public data used in this paper can be accessed through the following links: (1) FISH data from the Berkeley Drosophila Transcription Network Project (BDTNP): https://shiny.mdc-berlin.de/DVEX/ ; (2) 10X Visium data of the human dorsolateral prefrontal cortex (DLPFC): http://spatial.libd.org/spatialLIBD/ ; (3) Adult mouse cortical cell datasets (GEO accession GSE71585): https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE71585 ; (4) Mouse embryo data: https://content.cruk.cam.ac.uk/jmlab/SpatialMouseAtlas2020/ ; (5) Seurat objects ST data (10X Genomics Visium) of mouse brain: https://satijalab.org/seurat/articles/spatial_vignette.html ; (6) 10X Visium data of mouse brain: https://www.ebi.ac.uk/biostudies/arrayexpress/studies/E-MTAB-11114 ; (7) MERFISH data of mouse brain: https://portal.brain-map.org/atlases-and-data/bkp/abc-atlas ; (8) MERFISH data of human MTG: https://doi.org/10.5061/dryad.x3ffbg7mw ; (9) SMART-seq data of human MTG: https://portal.brain-map.org/atlases-and-data/rnaseq/human-mtg-smart-seq ; (10) Single-cell RNA-seq and Spatial Transcriptomics data of developing Article Title: Single-cell and spatial detection of senescent cells using DeepScence Article Snippet: Spatial transcriptomics data from mouse muscle under notexin-induced injury , McKellar et al. , GEO: GSE161318. .. Article Title: scGALA advances graph link prediction-based cell alignment for comprehensive data integration and harmonization Article Snippet: .. Furthermore, we applied scGALA to a Article Title: Spatial transcriptome and single-cell sequencing reveal the role of nucleotide metabolism in breast cancer progression and tumor microenvironment Article Snippet: .. Fluorescence In Situ Hybridization:Article Title: Transfer learning of multicellular organization via single-cell and spatial transcriptomics Article Snippet: .. The original public data used in this paper can be accessed through the following links: (1) FISH data from the Berkeley Drosophila Transcription Network Project (BDTNP): https://shiny.mdc-berlin.de/DVEX/ ; (2) 10X Visium data of the human dorsolateral prefrontal cortex (DLPFC): http://spatial.libd.org/spatialLIBD/ ; (3) Adult mouse cortical cell datasets (GEO accession GSE71585): https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE71585 ; (4) Mouse embryo data: https://content.cruk.cam.ac.uk/jmlab/SpatialMouseAtlas2020/ ; (5) Seurat objects ST data (10X Genomics Visium) of mouse brain: https://satijalab.org/seurat/articles/spatial_vignette.html ; (6) 10X Visium data of mouse brain: https://www.ebi.ac.uk/biostudies/arrayexpress/studies/E-MTAB-11114 ; (7) MERFISH data of mouse brain: https://portal.brain-map.org/atlases-and-data/bkp/abc-atlas ; (8) MERFISH data of human MTG: https://doi.org/10.5061/dryad.x3ffbg7mw ; (9) SMART-seq data of human MTG: https://portal.brain-map.org/atlases-and-data/rnaseq/human-mtg-smart-seq ; (10) Single-cell RNA-seq and Spatial Transcriptomics data of developing Single Cell:Article Title: Transfer learning of multicellular organization via single-cell and spatial transcriptomics Article Snippet: .. The original public data used in this paper can be accessed through the following links: (1) FISH data from the Berkeley Drosophila Transcription Network Project (BDTNP): https://shiny.mdc-berlin.de/DVEX/ ; (2) 10X Visium data of the human dorsolateral prefrontal cortex (DLPFC): http://spatial.libd.org/spatialLIBD/ ; (3) Adult mouse cortical cell datasets (GEO accession GSE71585): https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE71585 ; (4) Mouse embryo data: https://content.cruk.cam.ac.uk/jmlab/SpatialMouseAtlas2020/ ; (5) Seurat objects ST data (10X Genomics Visium) of mouse brain: https://satijalab.org/seurat/articles/spatial_vignette.html ; (6) 10X Visium data of mouse brain: https://www.ebi.ac.uk/biostudies/arrayexpress/studies/E-MTAB-11114 ; (7) MERFISH data of mouse brain: https://portal.brain-map.org/atlases-and-data/bkp/abc-atlas ; (8) MERFISH data of human MTG: https://doi.org/10.5061/dryad.x3ffbg7mw ; (9) SMART-seq data of human MTG: https://portal.brain-map.org/atlases-and-data/rnaseq/human-mtg-smart-seq ; (10) Single-cell RNA-seq and Spatial Transcriptomics data of developing RNA Sequencing:Article Title: Transfer learning of multicellular organization via single-cell and spatial transcriptomics Article Snippet: .. 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