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matlab 2017b code  (MathWorks Inc)


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    MathWorks Inc matlab 2017b code
    Matlab 2017b Code, 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/product/matlab+code+2017b/pmc12000824-129-30-30
    Average 90 stars, based on 1 article reviews
    matlab 2017b code - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: Perivascular space dilation is associated with vascular amyloid-β accumulation in the overlying cortex.
    Article Snippet: Using an in-house developed MATLAB code (2017b, Mathworks), we split the MRI-visible PVS segmentation into individual MRI-visible PVS using connected component analysis, and used the output of SmartInterpol to separate the MRI-visible PVS into those visible in the WM and those protruding into the GM.



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    matlab 2017b codes  (MathWorks Inc)
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    Gene expression profiling. ( a ) Workflow: from raw dataset to analysis. ( b ) Number of DEGs, up- and down-regulated genes. ( c ) Venn diagram to display the DEGs. ( d ) Venn diagram for enriched pathways for the DEGs (p-value ≤ 0.05). ( e ) Venn diagram for enriched pathways for the DEGs (p-value ≤ 0.001). ( f ) Common genes between different stages and the array chips (U133A and U133B) with their fold changes. ( g ) Mapped network for all the genes in ( f ). For venn diagram plotting, freely available webserver ( http://bioinformatics.psb.ugent.be/webtools/Venn/ ) was used and the heatmaps and bar plot were generated by using MATLAB <t>2017b</t> by using imagesc and plot commands, respectively.
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    matlab code 2017b  (MathWorks Inc)
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    Gene expression profiling. ( a ) Workflow: from raw dataset to analysis. ( b ) Number of DEGs, up- and down-regulated genes. ( c ) Venn diagram to display the DEGs. ( d ) Venn diagram for enriched pathways for the DEGs (p-value ≤ 0.05). ( e ) Venn diagram for enriched pathways for the DEGs (p-value ≤ 0.001). ( f ) Common genes between different stages and the array chips (U133A and U133B) with their fold changes. ( g ) Mapped network for all the genes in ( f ). For venn diagram plotting, freely available webserver ( http://bioinformatics.psb.ugent.be/webtools/Venn/ ) was used and the heatmaps and bar plot were generated by using MATLAB <t>2017b</t> by using imagesc and plot commands, respectively.
    Matlab Code 2017b, 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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    in-house code matlab 2017b  (MathWorks Inc)
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    MathWorks Inc in-house code matlab 2017b
    Gene expression profiling. ( a ) Workflow: from raw dataset to analysis. ( b ) Number of DEGs, up- and down-regulated genes. ( c ) Venn diagram to display the DEGs. ( d ) Venn diagram for enriched pathways for the DEGs (p-value ≤ 0.05). ( e ) Venn diagram for enriched pathways for the DEGs (p-value ≤ 0.001). ( f ) Common genes between different stages and the array chips (U133A and U133B) with their fold changes. ( g ) Mapped network for all the genes in ( f ). For venn diagram plotting, freely available webserver ( http://bioinformatics.psb.ugent.be/webtools/Venn/ ) was used and the heatmaps and bar plot were generated by using MATLAB <t>2017b</t> by using imagesc and plot commands, respectively.
    In House Code Matlab 2017b, 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/product/matlab+code+2017b/10__1158_slash_0008___5472__can___21___1438-77-13-14
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    Gene expression profiling. ( a ) Workflow: from raw dataset to analysis. ( b ) Number of DEGs, up- and down-regulated genes. ( c ) Venn diagram to display the DEGs. ( d ) Venn diagram for enriched pathways for the DEGs (p-value ≤ 0.05). ( e ) Venn diagram for enriched pathways for the DEGs (p-value ≤ 0.001). ( f ) Common genes between different stages and the array chips (U133A and U133B) with their fold changes. ( g ) Mapped network for all the genes in ( f ). For venn diagram plotting, freely available webserver ( http://bioinformatics.psb.ugent.be/webtools/Venn/ ) was used and the heatmaps and bar plot were generated by using MATLAB 2017b by using imagesc and plot commands, respectively.

    Journal: Scientific Reports

    Article Title: Multi-staged gene expression profiling reveals potential genes and the critical pathways in kidney cancer

    doi: 10.1038/s41598-022-11143-6

    Figure Lengend Snippet: Gene expression profiling. ( a ) Workflow: from raw dataset to analysis. ( b ) Number of DEGs, up- and down-regulated genes. ( c ) Venn diagram to display the DEGs. ( d ) Venn diagram for enriched pathways for the DEGs (p-value ≤ 0.05). ( e ) Venn diagram for enriched pathways for the DEGs (p-value ≤ 0.001). ( f ) Common genes between different stages and the array chips (U133A and U133B) with their fold changes. ( g ) Mapped network for all the genes in ( f ). For venn diagram plotting, freely available webserver ( http://bioinformatics.psb.ugent.be/webtools/Venn/ ) was used and the heatmaps and bar plot were generated by using MATLAB 2017b by using imagesc and plot commands, respectively.

    Article Snippet: MATLAB 2017b codes and the command line codes have been used for figure plotting and during analysis.

    Techniques: Expressing, Generated

    Connectivity in the selected networks (where the gene connectivity is not visible), for the top 30 genes matched with those pathways which are enriched for the DEGs list. ( a – f ) Connectivity of the genes in the network for Stage I and II of U133A. These sub-figures were plotted by using MATLAB 2017b by using plot command and afterward dot option was selected and the line was removed.

    Journal: Scientific Reports

    Article Title: Multi-staged gene expression profiling reveals potential genes and the critical pathways in kidney cancer

    doi: 10.1038/s41598-022-11143-6

    Figure Lengend Snippet: Connectivity in the selected networks (where the gene connectivity is not visible), for the top 30 genes matched with those pathways which are enriched for the DEGs list. ( a – f ) Connectivity of the genes in the network for Stage I and II of U133A. These sub-figures were plotted by using MATLAB 2017b by using plot command and afterward dot option was selected and the line was removed.

    Article Snippet: MATLAB 2017b codes and the command line codes have been used for figure plotting and during analysis.

    Techniques: