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

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doi 
https://doi.org/10.1101/2022.06.15.496326
History 
  • June 17, 2022.
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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.

Author Information

  1. Milton Pividori1,
  2. Marylyn D. Ritchie1,
  3. Diego H. Milone3 and
  4. Casey S. Greene4,5,*
  1. 1Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
  2. 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
  3. 4Center for Health AI, University of Colorado School of Medicine, Aurora, CO 80045, USA
  4. 5Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, CO 80045, USA
  1. ↵*Corresponding author; email: casey.s.greene{at}cuanschutz.edu
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Posted June 17, 2022.
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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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