Difference between revisions of "A comparative study of evaluating missing value imputation methods in label-free proteomics"

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Revision as of 14:25, 2 February 2021

Citation

O'Brien JJ, Gunawardena HP, Paulo JA, Chen X, Ibrahim JG, Gygi SP, Qaqish BF (2018). The effects of nonignorable missing data on label-free mass spectrometry proteomics experiments. Ann Appl Stat. 12(4):2075-95. doi: 10.1214/18-AOAS1144


Summary

Study outcomes

Outcome O1

Outcome O2

Further outcomes

Study design and evidence level

General aspects

Further comments and aspects

References

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