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Application of Unsupervised Multi-Omic Factor Analysis to Uncover Patterns of Variation and Molecular Processes Linked to Cardiovascular Disease
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Application of Unsupervised Multi-Omic Factor Analysis to Uncover Patterns of Variation and Molecular Processes Linked to Cardiovascular Disease

Published on: September 20, 2024

An application of multivariate ranks to assess effects from combining factors: metal exposures and semen analysis

R V Ramamoorthi1, M G Rossano, N Paneth

  • 1Department of Statistics and Probability, Michigan State University, East Lansing, MI 48824, USA.

Statistics in Medicine
|March 5, 2008
PubMed

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