Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST | Nature Communications https://t.co/zvqFgrwLlK #Bioinformatics https://t.co/5xGQPKvvT3
Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST.
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Jan 2023 – Apr 2024Where it's discussed
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X / Twitter27 posts
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Blogs3 articles
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Facebook2 posts
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YouTube1 videos
AI synopsis
What people are saying
The overall tone is optimistic, with posts mentioning the paper as a 'game changer' and highlighting improvements like '10% higher accuracy' and detailed tissue structures. Words like 'just published,' 'new results,' and hashtags related to bioinformatics suggest excitement and anticipation, reflecting their perception of significant impact and high interest in the research's implications.
Most discussions support and promote the significance of GraphST, emphasizing its advancements and potential.
Social discussions reflect high curiosity and enthusiasm, often highlighting new results and applications.
Participants share positive comments, mention figures and methods, and express support, indicating moderate but meaningful engagement.
There’s recognition that this work advances spatial transcriptomics analysis, suggesting potential for substantial influence in bioinformatics and biomedical research.
Abstract in brief
- GraphST is a new method that uses graph neural networks and contrastive learning to analyze spatial transcriptomics data, helping identify spatial patterns in gene expression.
- It outperforms existing methods by providing 10% higher accuracy in clustering tissues, accurately revealing detailed tissue structures in brain and embryo samples, and allowing joint analysis of multiple tissue slices.
- Additionally, GraphST effectively deconvolves cell types within tissues, capturing important spatial niches like lymph node germinal centers and exhausted T cells in breast tumors.]
Top posts
Most liked on X and BlueskySpatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST. #SpatialTranscriptomics @NatureComms https://t.co/7fY8loYjqL
Our paper 'Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST' was just online in Nature Communications. https://t.co/8ins4rgijm https://t.co/Qn9vYPLcP5
Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST https://t.co/4zQy8ZEwiY #MachineLearning #NatureJournal #AI https://t.co/CaUhj3MrvF
#BioIT #BioInformatics Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST [NEW RESULTS] https://t.co/9G0ygXf7o7
RT Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST https://t.co/A5uHapBOln https://t.co/lNPVdhPhlf
All mentions
GraphST: Enhanced Spatial Transcriptomics Analysis Using Graph Neural Networks
GraphST utilizes graph neural networks and contrastive learning to improve spatial transcriptomics analysis, offering higher accuracy in tissue clustering and cell type deconvolution, revealing detailed tissue…
(3) Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST Yahui L., Kok Siong A., Mengwei L., Kelvin C., Raman S., Chengwei Z., Xu H., Jinmiao C. https://t.co/6j30UYefij
RT @long_yahui: Our paper 'Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST' was just…
RT @jsantoyo: Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST. #SpatialTranscriptomic…
RT @jsantoyo: Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST. #SpatialTranscriptomic…
Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST. #SpatialTranscriptomics @NatureComms https://t.co/7fY8loYjqL
RT @BioDecoded: Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST | Nature Communicatio…
RT @BioDecoded: Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST | Nature Communicatio…
RT @BioDecoded: Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST | Nature Communicatio…
RT @BioDecoded: Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST | Nature Communicatio…
RT @BioDecoded: Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST | Nature Communicatio…
RT @BioDecoded: Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST | Nature Communicatio…
Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST | Nature Communications https://t.co/z4C4sr7FBl
RT @BioDecoded: Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST | Nature Communicatio…
RT @BioDecoded: Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST | Nature Communicatio…
RT @BioDecoded: Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST | Nature Communicatio…
RT @BioDecoded: Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST | Nature Communicatio…
Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST | Nature Communications https://t.co/zvqFgrwLlK #Bioinformatics https://t.co/5xGQPKvvT3
Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with... https://t.co/IsoXDOHREB
RT @AndyLYHLYH: Our paper 'Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST' was just…
RT @AndyLYHLYH: Our paper 'Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST' was just…
RT @AndyLYHLYH: Our paper 'Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST' was just…
RT @AndyLYHLYH: Our paper 'Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST' was just…
Our paper 'Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST' was just online in Nature Communications. https://t.co/8ins4rgijm https://t.co/Qn9vYPLcP5
Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST https://t.co/4zQy8ZEwiY #MachineLearning #NatureJournal #AI https://t.co/CaUhj3MrvF
RT Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST https://t.co/A5uHapBOln https://t.co/lNPVdhPhlf
RT @SeqComplete: #BioIT #BioInformatics Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with Graph…
#BioIT #BioInformatics Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST [NEW RESULTS] https://t.co/9G0ygXf7o7