Effects of imputation on correlation: implications for analysis of mass spectrometry data from multiple biological matrices.

ABSTRACT: With expanded access to, and decreased costs of, mass spectrometry, investigators are collecting and analyzing multiple biological matrices from the same subject such as serum, plasma, tissue and urine to enhance biomarker discoveries, understanding of disease processes and identification of therapeutic targets. Commonly, each biological matrix is analyzed separately, but multivariate methods such as MANOVAs that combine information from multiple biological matrices are potentially more powerful. However, mass spectrometric data typically contain large amounts of missing values, and imputation is often used to create complete data sets for analysis. The effects of imputation on multiple biological matrix analyses have not been studied. We investigated the effects of seven imputation method

SUBMITTER: Taylor SL 

PROVIDER: S-EPMC5862252 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature