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

NIH RePORTER · NIH · R35 · $8,321 · view on reporter.nih.gov ↗

Abstract

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.

Key facts

NIH application ID
10392682
Project number
3R35GM138121-01S1
Recipient
UNIVERSITY OF MICHIGAN AT ANN ARBOR
Principal Investigator
Xiaoquan Wen
Activity code
R35
Funding institute
NIH
Fiscal year
2021
Award amount
$8,321
Award type
3
Project period
2020-09-15 → 2025-07-31