stereo seq (Spatial Transcriptomics Inc)

About

News

Press Release

Team

Advisors

Partners

Contact

Bioz Stars

Bioz vStars

Buy from Supplier

Structured Review

Spatial Transcriptomics Inc stereo seq
Clustering benchmark results for <t>the</t> <t>Stereo-seq</t> dataset across three gene selection levels (2000 genes, 5000 genes, and all genes). Eight methods—including the base (no imputation) and seven imputation approaches—are evaluated using (a) ARI, (b) NMI, (c) AMI, and (d) HOMO scores. MAGIC method consistently performs well across all metrics

Clustering benchmark results for <t>the</t> <t>Stereo-seq</t> dataset across three gene selection levels (2000 genes, 5000 genes, and all genes). Eight methods—including the base (no imputation) and seven imputation approaches—are evaluated using (a) ARI, (b) NMI, (c) AMI, and (d) HOMO scores. MAGIC method consistently performs well across all metrics

Stereo Seq, 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+omics+database/seq+stereo/pmc12862982-277-0-8
Average 86 stars, based on 1 article reviews

stereo seq - by Bioz Stars, 2026-10

86/100 stars

Images

1) Product Images from "Spatial information matters: are traditional imputation methods effective for spatial transcriptomics data?"

Article Title: Spatial information matters: are traditional imputation methods effective for spatial transcriptomics data?

Journal: Briefings in Bioinformatics

doi: 10.1093/bib/bbag027

Clustering benchmark results for the Stereo-seq dataset across three gene selection levels (2000 genes, 5000 genes, and all genes). Eight methods—including the base (no imputation) and seven imputation approaches—are evaluated using (a) ARI, (b) NMI, (c) AMI, and (d) HOMO scores. MAGIC method consistently performs well across all metrics

Figure Legend Snippet: Clustering benchmark results for the Stereo-seq dataset across three gene selection levels (2000 genes, 5000 genes, and all genes). Eight methods—including the base (no imputation) and seven imputation approaches—are evaluated using (a) ARI, (b) NMI, (c) AMI, and (d) HOMO scores. MAGIC method consistently performs well across all metrics

Techniques Used: Selection

Spatial Transcriptomics:

Article Title: Spatial information matters: are traditional imputation methods effective for spatial transcriptomics data?
Article Snippet: .. Stereo-seq (Spatiotemporal Enhanced Resolution Omics-sequencing) is a high-resolution spatial transcriptomics technology that captures genome-wide gene expression with spatial fidelity using DNA nanoball (DNB)-patterned arrays [ ]. .. Stereo-seq (Spatiotemporal Enhanced Resolution Omics-sequencing) is a high-resolution spatial transcriptomics technology that captures genome-wide gene expression with spatial fidelity using DNA nanoball (DNB)-patterned arrays [ ].

Article Title: Spatial FBA reveals heterogeneous Warburg niches in renal tumors and lactate consumption in colorectal cancer.
Article Snippet: .. 2) Image Registration: The fluorescence image taken during the Stereo-Seq Spatial Transcriptomics Assay was aligned to the count matrix to define the tissue area, filtering out DNA nano-balls that were not under the tissue from the count matrix. ..

Article Title: Macrophage Plasticity and Regulatory Networks During the Transition from Inflammation to Fibrosis in the Kidney
Article Snippet: .. Xing et al., 2025 , Spatial transcriptomics , Stereo-seq , Whole kidney (single nuclei) , LN , IMQ (N/A) , [ ] . ..

Article Title: FlashDeconv enables atlas-scale, multi-resolution spatial deconvolution via structure-preserving sketching
Article Snippet: .. Spatial transcriptomics (ST) technologies, such as Stereo-seq [ ], Xenium [ ], and Visium HD [ ], are transforming our understanding of tissue architecture by mapping gene expression at subcellular resolution across increasingly large fields of view. ..

Genome Wide:

Gene Expression:

Fluorescence:

Imaging:

Article Title: Network models for bridging denoising and identifying spatial domains of spatially resolved transcriptomics.
Article Snippet: .. Therefore, two additional types of data, including mFISH (imaging-based molecular data) [64,65] and Stereo-seq (high-resolution spatial transcriptomics data) [66], are selected (Table A in S1 Text). ..

Generated:

Article Title: Distinct populations of lung capillary endothelial cells and their functional significance
Article Snippet: We utilized spatial transcriptomic data processed using Stomics Stereo-seq technology. .. The dataset generated with Stereo-seq technology was processed using the Stereo-seq pipeline, specifically utilizing the saw_v7.1 spatial_Transcriptomics_workflow through the stereoPipeline_v7.1.sh script. ..

Article Title: Distinct populations of lung capillary endothelial cells and their functional significance.
Article Snippet: We utilized spatial transcriptomic data processed using Stomics Stereo-seq technology. .. The dataset generated with Stereo-seq technology was processed using the Stereo-seq pipeline, specifically utilizing the saw_v7.1 spatial_Transcriptomics_workflow through the stereoPipeline_v7.1.sh script. ..

Review