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summary receiver operator characteristic sroc curves  (Genovis Inc)


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    Genovis Inc summary receiver operator characteristic sroc curves
    Summary Receiver Operator Characteristic Sroc Curves, supplied by Genovis Inc, used in various techniques. Bioz Stars score: 93/100, based on 90 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/summary+receiver+operator+characteristic+curve+sroc/pm40596444-127-0-2?v=Genovis+Inc
    Average 93 stars, based on 90 article reviews
    summary receiver operator characteristic sroc curves - by Bioz Stars, 2026-08
    93/100 stars

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    The ability <t>of</t> <t>APIP</t> to distinguish HCC from normal liver tissue and its correlation with prognosis in HCC patients. ( a ) High expression of APIP in public database datasets. ( b ) Begg’s funnel plot. ( c ) <t>SROC</t> curve of APIP based on the TCGA cohort. ( d ) OS-Kaplan-Meier survival curve. ( e ) DFS-Kaplan-Meier survival curve. ( f ) Nomogram and calibration plot
    Summary Receiver Operator Characteristic Sroc Curves, supplied by Genovis Inc, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    summary receiver operator characteristic curve sroc  (Genovis Inc)
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    Genovis Inc summary receiver operator characteristic curve sroc
    <t>Summary</t> <t>receiver</t> operator characteristic curve <t>(SROC)</t> of ML algorithms
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    The ability of APIP to distinguish HCC from normal liver tissue and its correlation with prognosis in HCC patients. ( a ) High expression of APIP in public database datasets. ( b ) Begg’s funnel plot. ( c ) SROC curve of APIP based on the TCGA cohort. ( d ) OS-Kaplan-Meier survival curve. ( e ) DFS-Kaplan-Meier survival curve. ( f ) Nomogram and calibration plot

    Journal: Cancer Cell International

    Article Title: Clinical pathological significance and biological functions of APIP in hepatocellular carcinoma

    doi: 10.1186/s12935-025-04018-z

    Figure Lengend Snippet: The ability of APIP to distinguish HCC from normal liver tissue and its correlation with prognosis in HCC patients. ( a ) High expression of APIP in public database datasets. ( b ) Begg’s funnel plot. ( c ) SROC curve of APIP based on the TCGA cohort. ( d ) OS-Kaplan-Meier survival curve. ( e ) DFS-Kaplan-Meier survival curve. ( f ) Nomogram and calibration plot

    Article Snippet: To assess the clinical utility of APIP in HCC, standardized mean difference (SMD), summary receiver operating characteristic (SROC) curves, and pooled sensitivity and specificity analyses were conducted using Stata 12.0 software, and receiver operating characteristic (ROC) curves was conducted using R v3.6.1 packages“pROC”.

    Techniques: Expressing

    Summary receiver operator characteristic curve (SROC) of ML algorithms

    Journal: BMC Endocrine Disorders

    Article Title: Prediction of recurrence after surgery for pituitary adenoma using machine learning- based models: systematic review and meta-analysis

    doi: 10.1186/s12902-025-01955-8

    Figure Lengend Snippet: Summary receiver operator characteristic curve (SROC) of ML algorithms

    Article Snippet: Fig. 7 Summary receiver operator characteristic curve (SROC) of ML algorithms

    Techniques: