Kernel-based measure of variable importance for genetic association studies

DOI10.1515/IJB-2016-0087MaRDI QIDQ6636154

Ramon Oller, M. Luz Calle, Vicente Gallego

Publication date: 12 November 2024

Published in: The International Journal of Biostatistics (Search for Journal in Brave)

zbMATH Keywords

Kernel methodsvariable importancegenetic association studies

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Correlation and variable importance in random forests
• A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibility
• Random forests

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