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Blog posts : "data science"

Characterizing the effects of missing data and evaluating imputation methods for chemical prioritization applications using ToxPi (2018) BioData Mining

Kimberly T. To, Rebecca C. Fry, David M. Reif. Characterizing the effects of missing data and evaluating imputation methods for chemical prioritization applications using ToxPi. BioData Mining. 2018. 

https://rdcu.be/XYtJ

 

National Academies meeting: "Informing Environmental Health Decisions Through Data Integration"

David Reif was a moderator and member of the planning committee for the National Academy of Sciences workshop "Informing Environmental Health Decisions Through Data Integration". 

The workshop brought together thought leaders from diverse fields to explore the promise and potential pitfalls of e…

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Reif presents keynote at NIEHS Data Science Retreat

At the NIEHS Division of Extramural Research and Training (DERT) Data Science Retreat, David Reif presented the keynote on applied data science for the Basic Sciences. 

Other invited speakers included Jessica Tenenbaum (Duke University), who presented the keynote on applied data science in the …

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Reif is invited expert at "Aggregate Exposure Pathway" workshop

David Reif was an invited expert at the U.S. EPA "Expert Workshop on Aggregate Exposure Pathway: A Conceptual Framework to Advance Exposure Science Research and Complete the Source-to-Outcome Continuum for Risk Assessment".

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4 blog posts