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Resolving Methodological Challenges in Genomics Research: Causality, Risk Prediction, and Reproducibility: Administrative Supplement

Resolving Methodological Challenges in Genomics Research: Causality, Risk Prediction, and Reproducibility: Administrative Supplement
解决基因组学研究中的方法学挑战:因果关系、风险预测和再现性:行政补充
批准号:
10392682
负责人:
Xiaoquan Wen
金额:
$0.83万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
未结题
起止时间:
2020-09-15 至 2025-07-31

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中文摘要
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英文摘要
Project Summary This proposed project focuses on the statistical assessment of reproducibility in genomic and genetic applications. Reproducibility is a hallmark of scientific research. However, the quantitative tools for evaluating reproducibility and replicability are still lacking. We will develop and apply computational tools to assess reproducibility in findings from genetic and genomic research. We will build user-friendly computational software packages and make them available to the broad community of biological and medical scientists.
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Resolving Methodological Challenges in Genomics Research: Causality, Risk Prediction, and Reproducibility
Resolving Methodological Challenges in Genomics Research: Causality, Risk Prediction, and Reproducibility
Resolving Methodological Challenges in Genomics Research: Causality, Risk Prediction, and Reproducibility
Resolving Methodological Challenges in Genomics Research: Causality, Risk Prediction, and Reproducibility
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