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implementations of genie3  (MathWorks Inc)


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    MathWorks Inc implementations of genie3
    Implementations Of Genie3, 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/implementations of genie3/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    implementations of genie3 - by Bioz Stars, 2026-04
    90/100 stars

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    MathWorks Inc implementations of genie3
    Implementations Of Genie3, 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/implementations of genie3/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    implementations of genie3 - by Bioz Stars, 2026-04
    90/100 stars
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    MathWorks Inc implementation of genie3
    AUPR and AUROC scores for DREAM4 Multifactorial challenge.
    Implementation Of Genie3, 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/implementation of genie3/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    implementation of genie3 - by Bioz Stars, 2026-04
    90/100 stars
      Buy from Supplier

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    AUPR and AUROC scores for DREAM4 Multifactorial challenge.

    Journal: PLoS ONE

    Article Title: Inferring Regulatory Networks from Expression Data Using Tree-Based Methods

    doi: 10.1371/journal.pone.0012776

    Figure Lengend Snippet: AUPR and AUROC scores for DREAM4 Multifactorial challenge.

    Article Snippet: To fix ideas, with our MatLab implementation of GENIE3, it takes 6.5 minutes to infer the five networks of the DREAM4 challenge and 7 hours to infer the E. coli network (with known transcription factors), in both cases with Random Forests and , where is the number of potential regulators (see later for the details of these experiments).

    Techniques:

    AUPR and AUROC p-values for DREAM4 Multifactorial challenge.

    Journal: PLoS ONE

    Article Title: Inferring Regulatory Networks from Expression Data Using Tree-Based Methods

    doi: 10.1371/journal.pone.0012776

    Figure Lengend Snippet: AUPR and AUROC p-values for DREAM4 Multifactorial challenge.

    Article Snippet: To fix ideas, with our MatLab implementation of GENIE3, it takes 6.5 minutes to infer the five networks of the DREAM4 challenge and 7 hours to infer the E. coli network (with known transcription factors), in both cases with Random Forests and , where is the number of potential regulators (see later for the details of these experiments).

    Techniques:

    Overall scores of  GENIE3  for DREAM4 networks.

    Journal: PLoS ONE

    Article Title: Inferring Regulatory Networks from Expression Data Using Tree-Based Methods

    doi: 10.1371/journal.pone.0012776

    Figure Lengend Snippet: Overall scores of GENIE3 for DREAM4 networks.

    Article Snippet: To fix ideas, with our MatLab implementation of GENIE3, it takes 6.5 minutes to infer the five networks of the DREAM4 challenge and 7 hours to infer the E. coli network (with known transcription factors), in both cases with Random Forests and , where is the number of potential regulators (see later for the details of these experiments).

    Techniques:

    Asymmetry of predicted and gold standard networks.

    Journal: PLoS ONE

    Article Title: Inferring Regulatory Networks from Expression Data Using Tree-Based Methods

    doi: 10.1371/journal.pone.0012776

    Figure Lengend Snippet: Asymmetry of predicted and gold standard networks.

    Article Snippet: To fix ideas, with our MatLab implementation of GENIE3, it takes 6.5 minutes to infer the five networks of the DREAM4 challenge and 7 hours to infer the E. coli network (with known transcription factors), in both cases with Random Forests and , where is the number of potential regulators (see later for the details of these experiments).

    Techniques: