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scatter plot and area under curve (auc) of the receiver operating characteristic (roc) curve  (GraphPad Software Inc)

 
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    GraphPad Software Inc scatter plot and area under curve (auc) of the receiver operating characteristic (roc) curve
    Scatter Plot And Area Under Curve (Auc) Of The Receiver Operating Characteristic (Roc) Curve, supplied by GraphPad Software 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/scatter plot and area under curve (auc) of the receiver operating characteristic (roc) curve/product/GraphPad Software Inc
    Average 90 stars, based on 1 article reviews
    scatter plot and area under curve (auc) of the receiver operating characteristic (roc) curve - by Bioz Stars, 2026-04
    90/100 stars

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    GraphPad Software Inc area under the curve (auc) of the receiver operating characteristic (roc) curve
    Hub gene validation. (a) Venn diagram used to select the hub candidates. The key genes in the cyan module, hub nodes in the PPI of the cyan module, and the genes in the designed ceRNA network were intersected to obtain 15 common genes. (b) Sub-ceRNA network of hub genes. This network is composed of three hub genes, four lncRNAs, four miRNAs, and 13 interactions. <t>(c)</t> <t>Receiver</t> operating characteristic (ROC) curve of CYBRD1 . Area under the curve <t>(AUC)</t> = 0.7963, P = 0.01359. (d) ROC curve of GNG12 . AUC = 0.7840, P = 0.01802. (e) ROC curve of SMAD1 . AUC = 0.7377, P = 0.04773. (f) The representative result of genomes and gene set enrichment analysis (GSEA) for CYBRD1 . “Valine leucine and isoleucine degradation” is highly related to a high expression of CYBRD1 . (g) The representative result of GSEA for GNG12 . “Base excision repair” is highly related to a high expression of GNG12 . (h) The representative result of GSEA for SMAD1 . “Fatty acid metabolism” is highly related to a high expression of SMAD1 . P < 0.05 indicates significance.
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    MedCalc Software Ltd area under the curve (auc) from the receiver operating characteristic curve (roc)
    Hub gene validation. (a) Venn diagram used to select the hub candidates. The key genes in the cyan module, hub nodes in the PPI of the cyan module, and the genes in the designed ceRNA network were intersected to obtain 15 common genes. (b) Sub-ceRNA network of hub genes. This network is composed of three hub genes, four lncRNAs, four miRNAs, and 13 interactions. <t>(c)</t> <t>Receiver</t> operating characteristic (ROC) curve of CYBRD1 . Area under the curve <t>(AUC)</t> = 0.7963, P = 0.01359. (d) ROC curve of GNG12 . AUC = 0.7840, P = 0.01802. (e) ROC curve of SMAD1 . AUC = 0.7377, P = 0.04773. (f) The representative result of genomes and gene set enrichment analysis (GSEA) for CYBRD1 . “Valine leucine and isoleucine degradation” is highly related to a high expression of CYBRD1 . (g) The representative result of GSEA for GNG12 . “Base excision repair” is highly related to a high expression of GNG12 . (h) The representative result of GSEA for SMAD1 . “Fatty acid metabolism” is highly related to a high expression of SMAD1 . P < 0.05 indicates significance.
    Area Under The Curve (Auc) From The Receiver Operating Characteristic Curve (Roc), supplied by MedCalc Software Ltd, 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
    area under the curve (auc) from the receiver operating characteristic curve (roc) - by Bioz Stars, 2026-04
    90/100 stars
      Buy from Supplier

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    Hub gene validation. (a) Venn diagram used to select the hub candidates. The key genes in the cyan module, hub nodes in the PPI of the cyan module, and the genes in the designed ceRNA network were intersected to obtain 15 common genes. (b) Sub-ceRNA network of hub genes. This network is composed of three hub genes, four lncRNAs, four miRNAs, and 13 interactions. (c) Receiver operating characteristic (ROC) curve of CYBRD1 . Area under the curve (AUC) = 0.7963, P = 0.01359. (d) ROC curve of GNG12 . AUC = 0.7840, P = 0.01802. (e) ROC curve of SMAD1 . AUC = 0.7377, P = 0.04773. (f) The representative result of genomes and gene set enrichment analysis (GSEA) for CYBRD1 . “Valine leucine and isoleucine degradation” is highly related to a high expression of CYBRD1 . (g) The representative result of GSEA for GNG12 . “Base excision repair” is highly related to a high expression of GNG12 . (h) The representative result of GSEA for SMAD1 . “Fatty acid metabolism” is highly related to a high expression of SMAD1 . P < 0.05 indicates significance.

    Journal: Oxidative Medicine and Cellular Longevity

    Article Title: Identification of Novel Key Genes and Pathways in Multiple Sclerosis Based on Weighted Gene Coexpression Network Analysis and Long Noncoding RNA-Associated Competing Endogenous RNA Network

    doi: 10.1155/2022/9328160

    Figure Lengend Snippet: Hub gene validation. (a) Venn diagram used to select the hub candidates. The key genes in the cyan module, hub nodes in the PPI of the cyan module, and the genes in the designed ceRNA network were intersected to obtain 15 common genes. (b) Sub-ceRNA network of hub genes. This network is composed of three hub genes, four lncRNAs, four miRNAs, and 13 interactions. (c) Receiver operating characteristic (ROC) curve of CYBRD1 . Area under the curve (AUC) = 0.7963, P = 0.01359. (d) ROC curve of GNG12 . AUC = 0.7840, P = 0.01802. (e) ROC curve of SMAD1 . AUC = 0.7377, P = 0.04773. (f) The representative result of genomes and gene set enrichment analysis (GSEA) for CYBRD1 . “Valine leucine and isoleucine degradation” is highly related to a high expression of CYBRD1 . (g) The representative result of GSEA for GNG12 . “Base excision repair” is highly related to a high expression of GNG12 . (h) The representative result of GSEA for SMAD1 . “Fatty acid metabolism” is highly related to a high expression of SMAD1 . P < 0.05 indicates significance.

    Article Snippet: The diagnostic accuracy of these genes was evaluated using the area under the curve (AUC) of the receiver operating characteristic (ROC) curve using GraphPad Prism 5.0.

    Techniques: Biomarker Discovery, Expressing