function exp1 Search Results


function fit with fittype: exp1  (MathWorks Inc)
90
MathWorks Inc function fit with fittype: exp1
Function Fit With Fittype: Exp1, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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function fit with fittype: exp1 - by Bioz Stars, 2026-03
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ihc proteins  (Proteintech)
93
Proteintech ihc proteins
FIGURE 5 Single-cell resolution exploration of the expression profiles of genes characterizing TP-TME risk subtypes in HCC. (A) UMAP plot illustrating the distribution of cells across different samples, with distinct colors representing each sample; (B) UMAP plot depicting the transcriptomic landscape of 62,163 high-quality cells across nine cell types, with different colors indicating the various cell types: Epi (epithelial cell), Fib (fibroblast cell), Endo (endothelial cell), Tc/NK (T cell/natural killer cell), Bc (B cell), Mono/Mac (monocyte/macrophage cell), Mast (mast cell), Neu (neutrophil cell), and Cycling (cycling cell). (C) Bubble plots displaying the percentage expression of classical marker genes across the nine cell types, alongside average expression levels. (D) Bar graph illustrating the distribution of the nine cell types across different tissues, color-coded by cell type. (E) UMAP plot showing the cluster of epithelial cells divided into four distinct cell clusters. (F) Bubble plots highlighting the percentage and average expression levels of genes with high expression specific to different epithelial cell clusters, as well as GO-BP functional enrichment. (G) Bubble plots presenting the expression percentages and average expression levels of genes characterizing the TP risk subtype across different epithelial cell clusters. (H) Density map illustrating the distribution of TP-related genes within epithelial cell clusters. (I) <t>IHC</t> staining <t>of</t> <t>XPO1</t> and RCN2 in clinical samples from HCC adjacent and tumor tissues. (J) Violin plot demonstrating the statistical analysis of IHC scores for XPO1 and RCN2 genes. (K, L) Violin plots displaying IHC scoring statistics for XPO1 (K) and RCN2 (L) under varying levels of Ki67 expression.
Ihc Proteins, supplied by Proteintech, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/ihc proteins/product/Proteintech
Average 93 stars, based on 1 article reviews
ihc proteins - by Bioz Stars, 2026-03
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function exp1  (MathWorks Inc)
90
MathWorks Inc function exp1
FIGURE 5 Single-cell resolution exploration of the expression profiles of genes characterizing TP-TME risk subtypes in HCC. (A) UMAP plot illustrating the distribution of cells across different samples, with distinct colors representing each sample; (B) UMAP plot depicting the transcriptomic landscape of 62,163 high-quality cells across nine cell types, with different colors indicating the various cell types: Epi (epithelial cell), Fib (fibroblast cell), Endo (endothelial cell), Tc/NK (T cell/natural killer cell), Bc (B cell), Mono/Mac (monocyte/macrophage cell), Mast (mast cell), Neu (neutrophil cell), and Cycling (cycling cell). (C) Bubble plots displaying the percentage expression of classical marker genes across the nine cell types, alongside average expression levels. (D) Bar graph illustrating the distribution of the nine cell types across different tissues, color-coded by cell type. (E) UMAP plot showing the cluster of epithelial cells divided into four distinct cell clusters. (F) Bubble plots highlighting the percentage and average expression levels of genes with high expression specific to different epithelial cell clusters, as well as GO-BP functional enrichment. (G) Bubble plots presenting the expression percentages and average expression levels of genes characterizing the TP risk subtype across different epithelial cell clusters. (H) Density map illustrating the distribution of TP-related genes within epithelial cell clusters. (I) <t>IHC</t> staining <t>of</t> <t>XPO1</t> and RCN2 in clinical samples from HCC adjacent and tumor tissues. (J) Violin plot demonstrating the statistical analysis of IHC scores for XPO1 and RCN2 genes. (K, L) Violin plots displaying IHC scoring statistics for XPO1 (K) and RCN2 (L) under varying levels of Ki67 expression.
Function Exp1, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/function exp1/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
function exp1 - by Bioz Stars, 2026-03
90/100 stars
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toolbox  (MathWorks Inc)
96
MathWorks Inc toolbox
FIGURE 5 Single-cell resolution exploration of the expression profiles of genes characterizing TP-TME risk subtypes in HCC. (A) UMAP plot illustrating the distribution of cells across different samples, with distinct colors representing each sample; (B) UMAP plot depicting the transcriptomic landscape of 62,163 high-quality cells across nine cell types, with different colors indicating the various cell types: Epi (epithelial cell), Fib (fibroblast cell), Endo (endothelial cell), Tc/NK (T cell/natural killer cell), Bc (B cell), Mono/Mac (monocyte/macrophage cell), Mast (mast cell), Neu (neutrophil cell), and Cycling (cycling cell). (C) Bubble plots displaying the percentage expression of classical marker genes across the nine cell types, alongside average expression levels. (D) Bar graph illustrating the distribution of the nine cell types across different tissues, color-coded by cell type. (E) UMAP plot showing the cluster of epithelial cells divided into four distinct cell clusters. (F) Bubble plots highlighting the percentage and average expression levels of genes with high expression specific to different epithelial cell clusters, as well as GO-BP functional enrichment. (G) Bubble plots presenting the expression percentages and average expression levels of genes characterizing the TP risk subtype across different epithelial cell clusters. (H) Density map illustrating the distribution of TP-related genes within epithelial cell clusters. (I) <t>IHC</t> staining <t>of</t> <t>XPO1</t> and RCN2 in clinical samples from HCC adjacent and tumor tissues. (J) Violin plot demonstrating the statistical analysis of IHC scores for XPO1 and RCN2 genes. (K, L) Violin plots displaying IHC scoring statistics for XPO1 (K) and RCN2 (L) under varying levels of Ki67 expression.
Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/toolbox/product/MathWorks Inc
Average 96 stars, based on 1 article reviews
toolbox - by Bioz Stars, 2026-03
96/100 stars
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matlab function fit('exp1)  (MathWorks Inc)
90
MathWorks Inc matlab function fit('exp1)
FIGURE 5 Single-cell resolution exploration of the expression profiles of genes characterizing TP-TME risk subtypes in HCC. (A) UMAP plot illustrating the distribution of cells across different samples, with distinct colors representing each sample; (B) UMAP plot depicting the transcriptomic landscape of 62,163 high-quality cells across nine cell types, with different colors indicating the various cell types: Epi (epithelial cell), Fib (fibroblast cell), Endo (endothelial cell), Tc/NK (T cell/natural killer cell), Bc (B cell), Mono/Mac (monocyte/macrophage cell), Mast (mast cell), Neu (neutrophil cell), and Cycling (cycling cell). (C) Bubble plots displaying the percentage expression of classical marker genes across the nine cell types, alongside average expression levels. (D) Bar graph illustrating the distribution of the nine cell types across different tissues, color-coded by cell type. (E) UMAP plot showing the cluster of epithelial cells divided into four distinct cell clusters. (F) Bubble plots highlighting the percentage and average expression levels of genes with high expression specific to different epithelial cell clusters, as well as GO-BP functional enrichment. (G) Bubble plots presenting the expression percentages and average expression levels of genes characterizing the TP risk subtype across different epithelial cell clusters. (H) Density map illustrating the distribution of TP-related genes within epithelial cell clusters. (I) <t>IHC</t> staining <t>of</t> <t>XPO1</t> and RCN2 in clinical samples from HCC adjacent and tumor tissues. (J) Violin plot demonstrating the statistical analysis of IHC scores for XPO1 and RCN2 genes. (K, L) Violin plots displaying IHC scoring statistics for XPO1 (K) and RCN2 (L) under varying levels of Ki67 expression.
Matlab Function Fit('exp1), supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
matlab function fit('exp1) - by Bioz Stars, 2026-03
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fmincon function of  (MathWorks Inc)
90
MathWorks Inc fmincon function of
FIGURE 5 Single-cell resolution exploration of the expression profiles of genes characterizing TP-TME risk subtypes in HCC. (A) UMAP plot illustrating the distribution of cells across different samples, with distinct colors representing each sample; (B) UMAP plot depicting the transcriptomic landscape of 62,163 high-quality cells across nine cell types, with different colors indicating the various cell types: Epi (epithelial cell), Fib (fibroblast cell), Endo (endothelial cell), Tc/NK (T cell/natural killer cell), Bc (B cell), Mono/Mac (monocyte/macrophage cell), Mast (mast cell), Neu (neutrophil cell), and Cycling (cycling cell). (C) Bubble plots displaying the percentage expression of classical marker genes across the nine cell types, alongside average expression levels. (D) Bar graph illustrating the distribution of the nine cell types across different tissues, color-coded by cell type. (E) UMAP plot showing the cluster of epithelial cells divided into four distinct cell clusters. (F) Bubble plots highlighting the percentage and average expression levels of genes with high expression specific to different epithelial cell clusters, as well as GO-BP functional enrichment. (G) Bubble plots presenting the expression percentages and average expression levels of genes characterizing the TP risk subtype across different epithelial cell clusters. (H) Density map illustrating the distribution of TP-related genes within epithelial cell clusters. (I) <t>IHC</t> staining <t>of</t> <t>XPO1</t> and RCN2 in clinical samples from HCC adjacent and tumor tissues. (J) Violin plot demonstrating the statistical analysis of IHC scores for XPO1 and RCN2 genes. (K, L) Violin plots displaying IHC scoring statistics for XPO1 (K) and RCN2 (L) under varying levels of Ki67 expression.
Fmincon Function Of, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/fmincon function of/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
fmincon function of - by Bioz Stars, 2026-03
90/100 stars
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Image Search Results


FIGURE 5 Single-cell resolution exploration of the expression profiles of genes characterizing TP-TME risk subtypes in HCC. (A) UMAP plot illustrating the distribution of cells across different samples, with distinct colors representing each sample; (B) UMAP plot depicting the transcriptomic landscape of 62,163 high-quality cells across nine cell types, with different colors indicating the various cell types: Epi (epithelial cell), Fib (fibroblast cell), Endo (endothelial cell), Tc/NK (T cell/natural killer cell), Bc (B cell), Mono/Mac (monocyte/macrophage cell), Mast (mast cell), Neu (neutrophil cell), and Cycling (cycling cell). (C) Bubble plots displaying the percentage expression of classical marker genes across the nine cell types, alongside average expression levels. (D) Bar graph illustrating the distribution of the nine cell types across different tissues, color-coded by cell type. (E) UMAP plot showing the cluster of epithelial cells divided into four distinct cell clusters. (F) Bubble plots highlighting the percentage and average expression levels of genes with high expression specific to different epithelial cell clusters, as well as GO-BP functional enrichment. (G) Bubble plots presenting the expression percentages and average expression levels of genes characterizing the TP risk subtype across different epithelial cell clusters. (H) Density map illustrating the distribution of TP-related genes within epithelial cell clusters. (I) IHC staining of XPO1 and RCN2 in clinical samples from HCC adjacent and tumor tissues. (J) Violin plot demonstrating the statistical analysis of IHC scores for XPO1 and RCN2 genes. (K, L) Violin plots displaying IHC scoring statistics for XPO1 (K) and RCN2 (L) under varying levels of Ki67 expression.

Journal: Frontiers in Immunology

Article Title: Integrative multi-omics analysis reveals a novel subtype of hepatocellular carcinoma with biological and clinical relevance

doi: 10.3389/fimmu.2024.1517312

Figure Lengend Snippet: FIGURE 5 Single-cell resolution exploration of the expression profiles of genes characterizing TP-TME risk subtypes in HCC. (A) UMAP plot illustrating the distribution of cells across different samples, with distinct colors representing each sample; (B) UMAP plot depicting the transcriptomic landscape of 62,163 high-quality cells across nine cell types, with different colors indicating the various cell types: Epi (epithelial cell), Fib (fibroblast cell), Endo (endothelial cell), Tc/NK (T cell/natural killer cell), Bc (B cell), Mono/Mac (monocyte/macrophage cell), Mast (mast cell), Neu (neutrophil cell), and Cycling (cycling cell). (C) Bubble plots displaying the percentage expression of classical marker genes across the nine cell types, alongside average expression levels. (D) Bar graph illustrating the distribution of the nine cell types across different tissues, color-coded by cell type. (E) UMAP plot showing the cluster of epithelial cells divided into four distinct cell clusters. (F) Bubble plots highlighting the percentage and average expression levels of genes with high expression specific to different epithelial cell clusters, as well as GO-BP functional enrichment. (G) Bubble plots presenting the expression percentages and average expression levels of genes characterizing the TP risk subtype across different epithelial cell clusters. (H) Density map illustrating the distribution of TP-related genes within epithelial cell clusters. (I) IHC staining of XPO1 and RCN2 in clinical samples from HCC adjacent and tumor tissues. (J) Violin plot demonstrating the statistical analysis of IHC scores for XPO1 and RCN2 genes. (K, L) Violin plots displaying IHC scoring statistics for XPO1 (K) and RCN2 (L) under varying levels of Ki67 expression.

Article Snippet: The following primary antibodies were used to bind specific IHC proteins: XPO1 (Proteintech, 27917-1-AP) and RCN2 (Proteintech, 10193-2-AP), and the secondary antibody used was horse anti-mouse/rabbit IgG (Vector, ZF1028).

Techniques: Expressing, Marker, Functional Assay, Immunohistochemistry