A SuperLearner-based pipeline for the development of DNA methylation-derived predictors of phenotypic traits

• Dennis Khodasevich,

  Roles Conceptualization, Formal analysis, Methodology, Visualization, Writing – original draft, Writing – review & editing

  Affiliation Department of Epidemiology and Population Health, Stanford University School of Medicine, Palo Alto, California, United States of America

  https://orcid.org/0000-0003-1412-8251

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• Nina Holland,

  Roles Conceptualization, Funding acquisition, Writing – review & editing

  Affiliation Center for Environmental Research and Community Health (CERCH), University of California Berkeley School of Public Health, Berkeley, California, United States of America

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• Lars van der Laan,

  Roles Writing – review & editing

  Affiliation Department of Statistics, University of Washington, Seattle, Washington, United States of America

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• Andres Cardenas

  Roles Conceptualization, Funding acquisition, Writing – review & editing

  * E-mail: andresca@stanford.edu

  Affiliation Department of Epidemiology and Population Health, Stanford University School of Medicine, Palo Alto, California, United States of America

  https://orcid.org/0000-0003-2284-3298

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