omicsMIC: a Comprehensive Benchmarking Platform for Robust Comparison of Imputation Methods in Mass

Weiqiang Lin1, Jiadong Ji2, Kuan-Jui Su1

  • 1Tulane Center for Biomedical Informatics and Genomics, Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA 70112, USA.

Summary

Missing values in omics data hinder biomarker discovery. The omicsMIC platform evaluates 28 imputation methods, aiding researchers in selecting the best strategy for mass spectrometry-based omics data analysis.

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