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Blog posts : "data science"

Development of the InTelligence And Machine LEarning (TAME) Toolkit for Introductory Data Science, Chemical-Biological Analyses, Predictive Modeling, and Database Mining for Environmental Health Research (2022) Front. Tox

Kyle Roell, Lauren E. Koval, Rebecca Boyles, Grace Patlewicz, Caroline Ring, Cynthia V. Rider, Cavin Ward-Caviness, David M. Reif, Ilona Jaspers, Rebecca C. Fry and Julia E. Rager. Development of the InTelligence And Machine LEarning (TAME) Toolkit for Introductory Data Science, Chemical-Biological …

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Data Science educational toolkit presented at the Superfund DMAC Quarterly Meeting

The inTelligence And Machine lEarning (TAME) Toolkit for Introductory Data Science, Chemical-Biological Analyses, Predictive Modeling, and Database Mining for Environmental Health Research

Kyle R. Roell, Lauren E. Koval, Rebecca Boyles, Grace Patlewicz, Caroline Ring, Cynthia Rider, Cavin Ward-Ca…

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The inTelligence And Machine lEarning (TAME) Toolkit for Introductory Data Science, Chemical-Biological Analyses, Predictive Modeling, and Database Mining for Environmental Health Research

Professor Julia Rager led development of the the inTelligence And Machine lEarning (TAME) Toolkit for Introductory Data Science, Chemical-Biological Analyses, Predictive Modeling, and Database Mining for Environmental Health Research. 

 

 

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Podcast on Biostatistics & Computational Biology in COVID-19

Alison Motsinger-Reif & David Reif were interviewed for the #COVIDcalls podcast.

https://covidcalls.podbean.com/e/ep-315-biostatistics-computational-biology-in-covid-19-hosted-by-kim-fortun/

Using ToxPi to visualize baseball

In a very creative analysis, Benjamin Detringer and Stephen Detringer used ToxPi as a visual analytic for baseball statistics!

As new and complicated baseball statistics have proliferated, the authors used ToxPi to synthesize complex MLB player performance metrics into summary graphics and stati…

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Multiomic Big Data Analysis Challenges: Increasing Confidence in the Interpretation of Artificial Intelligence Assessments (2021) Analytical Chemistry

Odenkirk MT, Reif DM, Baker ES. Multiomic Big Data Analysis Challenges: Increasing Confidence in the Interpretation of Artificial Intelligence Assessments. Anal Chem. 2021 May 24. doi: 10.1021/acs.analchem.0c04850. Epub ahead of print. PMID: 34029068.

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Development of a Pandemic Awareness STEM Outreach Curriculum: Utilizing a Computational Thinking Taxonomy Framework (2021) Education Sciences

Gilchrist PO, Alexander AB, Green AJ, Sanders FE, Hooker AQ, Reif DM. Development of a Pandemic Awareness STEM Outreach Curriculum: Utilizing a Computational Thinking Taxonomy Framework. Education Sciences. 2021; 11(3):109. https://doi.org/10.3390/educsci11030109

Abstract

Computational thin…

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Center for Human Health and the Environment (CHHE) Receives $7.6M Funding Renewal

 

David is co-Director of the Integrated Health Science Facility Core for the NIEHS P30-funded Center for Human Health and the Environment (CHHE). The press release announcing the grant renewal is here:

https://sciences.ncsu.edu/news/center-for-human-health-and-the-environment-receives-7-6…

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New P42 (Superfund Research Program) award: Center for Environmental and Human Health Effects of PFAS

See the full news release "NC State Receives $7.4 Million from NIEHS to Study PFAS Toxicity, Bioaccumulation and Remediation" @ https://news.ncsu.edu/2020/03/niehs-pfas-center/

David Reif and Denis Fourches will lead the Data Management and Analysis Core (DMAC) for the new center. More informat…

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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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13 blog posts