Search Results - Huckvale, Erik D.

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  1. 1
    A cautionary tale about properly vetting datasets used in supervised learning predicting metabolic pathway involvement

    A cautionary tale about properly vetting datasets used in supervised learning predicting metabolic pathway involvement by Huckvale, Erik D, Moseley, Hunter N B

    Published in PloS one
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  2. 2
    Predicting the Pathway Involvement of Metabolites Based on Combined Metabolite and Pathway Features

    Predicting the Pathway Involvement of Metabolites Based on Combined Metabolite and Pathway Features by Huckvale, Erik D, Moseley, Hunter N B

    Published in Metabolites
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  3. 3
    Benchmark Dataset for Training Machine Learning Models to Predict the Pathway Involvement of Metabolites

    Benchmark Dataset for Training Machine Learning Models to Predict the Pathway Involvement of Metabolites by Huckvale, Erik D., Powell, Christian D., Jin, Huan, Moseley, Hunter N. B.

    Published in Metabolites
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  4. 4
    Pairwise Correlation Analysis of the Alzheimer's Disease Neuroimaging Initiative (ADNI) Dataset Reveals Significant Feature Correlation

    Pairwise Correlation Analysis of the Alzheimer's Disease Neuroimaging Initiative (ADNI) Dataset Reveals Significant Feature Correlation by Huckvale, Erik D, Hodgman, Matthew W, Greenwood, Brianna B, Stucki, Devorah O, Ward, Katrisa M, Ebbert, Mark T W, Kauwe, John S K, The Alzheimer's Disease Neuroimaging Initiative, The Alzheimer's Disease Metabolomics Consortium, Miller, Justin B

    Published in Genes
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