An efficient not-only-linear correlation coefficient based on machine learning

Milton Pividori; Marylyn D. Ritchie; Diego H. Milone; Casey S. Greene

doi:10.1101/2022.06.15.496326

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An efficient not-only-linear correlation coefficient based on machine learning

View ORCID ProfileMilton Pividori, View ORCID ProfileMarylyn D. Ritchie, View ORCID ProfileDiego H. Milone, View ORCID ProfileCasey S. Greene

doi: https://doi.org/10.1101/2022.06.15.496326

Milton Pividori

1Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA

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Marylyn D. Ritchie

1Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA

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Diego H. Milone

3Research Institute for Signals, Systems and Computational Intelligence (sinc(i)), Universidad Nacional del Litoral, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Santa Fe CP3000, Argentina

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Casey S. Greene

4Center for Health AI, University of Colorado School of Medicine, Aurora, CO 80045, USA

5Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, CO 80045, USA

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For correspondence: casey.s.greene@cuanschutz.edu

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An efficient not-only-linear correlation coefficient based on machine learning

Milton Pividori, Marylyn D. Ritchie, Diego H. Milone, Casey S. Greene

bioRxiv 2022.06.15.496326; doi: https://doi.org/10.1101/2022.06.15.496326

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An efficient not-only-linear correlation coefficient based on machine learning

Milton Pividori, Marylyn D. Ritchie, Diego H. Milone, Casey S. Greene

bioRxiv 2022.06.15.496326; doi: https://doi.org/10.1101/2022.06.15.496326

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