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ren x spatial transcriptomics deconvolution 1306  (Spatial Transcriptomics Inc)

 
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    Spatial Transcriptomics Inc ren x spatial transcriptomics deconvolution 1306
    Ren X Spatial Transcriptomics Deconvolution 1306, 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/ren+x+spatial+transcriptomics+deconvolution/deconvolution+spatial+transcriptomics/pm41578339-870-6-8
    Average 86 stars, based on 1 article reviews
    ren x spatial transcriptomics deconvolution 1306 - by Bioz Stars, 2026-10
    86/100 stars

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    Related Articles

    Spatial Transcriptomics:


    Article Title: Interpretable multimodal deep learning improves postoperative risk stratification in intrahepatic cholangiocarcinoma in multicentre cohorts
    Article Snippet: Fig. 4 Spatial transcriptomics reveals tumor margin invasion characteristics in patients with different risk levels. a UMAP visualization of the distribution of predominant cell populations. b UMAP visualization of the patient distribution. c UMAP visualization of tumor cell subtypes. d EMT and proliferation scores in invasive against non-invasive tumor cells calculated using the Seurat “addmodulescore” function. e KEGG pathway enrichment analysis of DEGs across cell types. f Differences in the number and weights of interactions.Edge width denotes overall communication strength (top). .. Edge width denotes the number of significant ligand–receptor pairs (bottom). g SPOTlight deconvolution for spatial transcriptomics data annotation (left), SpaCET analysis of the distribution of normal tissue (middle), and TGF-β, WNT, and VEGF signaling networks in cell-cell interactions between P1 and P2 (right). h Violin plots and spatial distribution of MKI67, TOP2A, UBE2C, CDH2, CDH1, and VIM expression. i Chord diagrams visualizing intercellular communication patterns between tumor cells and normal tissue in patients. j GO pathway enrichment analysis of differentially expressed genes across different regions. k CAF spatial distribution pattern revealed by SpaCET deconvolution analysis. ..



    Article Title: PSME3 drives Tregs infiltration and anti-PD1 resistance in hepatocellular carcinoma by regulating FBXL7/PTEN-mediated metabolic reprogramming.
    Article Snippet: Regulatory T cells (Tregs) contribute to the immune escape of hepatocellular carcinoma (HCC).. However, the drivers of the accelerated Treg accumulation in HCC remain unclear.. In this study, Treg infiltration-related genes were analysed, and proteasome activator subunit 3 (PSME3) was identified as a pivotal driver using bioinformatics analysis.


    other:

    Article Title: Advances in the pathophysiological study of brain development: application of cerebral organoid combined with Spatial omics technology.
    Article Snippet: Zhou Z, Zhong Y, Zhang Z, Ren X. Spatial transcriptomics deconvolution 1306 at single-cell resolution using Redeconve.

    Expressing:

    Article Title: Interpretable multimodal deep learning improves postoperative risk stratification in intrahepatic cholangiocarcinoma in multicentre cohorts
    Article Snippet: Fig. 4 Spatial transcriptomics reveals tumor margin invasion characteristics in patients with different risk levels. a UMAP visualization of the distribution of predominant cell populations. b UMAP visualization of the patient distribution. c UMAP visualization of tumor cell subtypes. d EMT and proliferation scores in invasive against non-invasive tumor cells calculated using the Seurat “addmodulescore” function. e KEGG pathway enrichment analysis of DEGs across cell types. f Differences in the number and weights of interactions.Edge width denotes overall communication strength (top). .. Edge width denotes the number of significant ligand–receptor pairs (bottom). g SPOTlight deconvolution for spatial transcriptomics data annotation (left), SpaCET analysis of the distribution of normal tissue (middle), and TGF-β, WNT, and VEGF signaling networks in cell-cell interactions between P1 and P2 (right). h Violin plots and spatial distribution of MKI67, TOP2A, UBE2C, CDH2, CDH1, and VIM expression. i Chord diagrams visualizing intercellular communication patterns between tumor cells and normal tissue in patients. j GO pathway enrichment analysis of differentially expressed genes across different regions. k CAF spatial distribution pattern revealed by SpaCET deconvolution analysis. ..

    Gene Expression:

    Article Title: HDAC2-mediated chromatin remodeling drives hepatocellular carcinoma progression: an integrative analysis of computational pathology and multi-transcriptomics.
    Article Snippet: .. Spatial Transcriptomics Deconvolution Analysis. (A) spatial transcriptomic clusters. (B) HDAC2 gene expression on the slice. (C-F) deconvolved spatial maps of HDAC2+ tumor cells, HDAC2− tumor cells, NK cells, and stromal cells. (G) Spotlight spatial correlation heatmap. (H) Misty multi-scale predictor contribution bar plot. (I-K) Misty interaction maps under juxtacrine (I), paracrine (J) and intracrine (K) views; color intensity denotes interaction strength between HDAC2+/HDAC2− tumor cells and neighboring stromal or immune populations at the corresponding spatial scale. (L-M) Communication strength of HDAC2+/HDAC2− tumor cells in the homotypic cell network. (N-Q) heterotypic network edgeweight comparison (HDAC2+ vs HDAC2− × stromal cells). ..

    Comparison:

    Article Title: HDAC2-mediated chromatin remodeling drives hepatocellular carcinoma progression: an integrative analysis of computational pathology and multi-transcriptomics.
    Article Snippet: .. Spatial Transcriptomics Deconvolution Analysis. (A) spatial transcriptomic clusters. (B) HDAC2 gene expression on the slice. (C-F) deconvolved spatial maps of HDAC2+ tumor cells, HDAC2− tumor cells, NK cells, and stromal cells. (G) Spotlight spatial correlation heatmap. (H) Misty multi-scale predictor contribution bar plot. (I-K) Misty interaction maps under juxtacrine (I), paracrine (J) and intracrine (K) views; color intensity denotes interaction strength between HDAC2+/HDAC2− tumor cells and neighboring stromal or immune populations at the corresponding spatial scale. (L-M) Communication strength of HDAC2+/HDAC2− tumor cells in the homotypic cell network. (N-Q) heterotypic network edgeweight comparison (HDAC2+ vs HDAC2− × stromal cells). ..



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    ren x spatial transcriptomics deconvolution 1306  (Spatial Transcriptomics Inc)
    86
    Spatial Transcriptomics Inc ren x spatial transcriptomics deconvolution 1306
    Ren X Spatial Transcriptomics Deconvolution 1306, 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/ren+x+spatial+transcriptomics+deconvolution/deconvolution+spatial+transcriptomics/pm41578339-870-6-8
    Average 86 stars, based on 1 article reviews
    ren x spatial transcriptomics deconvolution 1306 - by Bioz Stars, 2026-10
    86/100 stars
    		  Buy from Supplier
    ren x spatial transcriptomics deconvolution  (Spatial Transcriptomics Inc)
    86
    Spatial Transcriptomics Inc ren x spatial transcriptomics deconvolution
    Ren X Spatial Transcriptomics Deconvolution, 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/ren+x+spatial+transcriptomics+deconvolution/deconvolution+spatial+transcriptomics/10__33696_slash_aids__6__051-437-6-8
    Average 86 stars, based on 1 article reviews
    ren x spatial transcriptomics deconvolution - by Bioz Stars, 2026-10
    86/100 stars
    		  Buy from Supplier

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