Evaluation of fecal mRNA reproducibility via a marginal transformed mixture modeling approach |
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Authors: | Nysia I George Joanne R Lupton Nancy D Turner Robert S Chapkin Laurie A Davidson Naisyin Wang |
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Institution: | (1) National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR 72079, USA;(2) Program in Integrative Nutrition & Complex Diseases, Texas A&M University, College Station, Texas, 77843-2253, USA;(3) Department of Statistics, University of Michigan, Ann Arbor, MI 48109-1107, USA |
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Abstract: | Background Developing and evaluating new technology that enables researchers to recover gene-expression levels of colonic cells from
fecal samples could be key to a non-invasive screening tool for early detection of colon cancer. The current study, to the
best of our knowledge, is the first to investigate and report the reproducibility of fecal microarray data. Using the intraclass
correlation coefficient (ICC) as a measure of reproducibility and the preliminary analysis of fecal and mucosal data, we assessed
the reliability of mixture density estimation and the reproducibility of fecal microarray data. Using Monte Carlo-based methods,
we explored whether ICC values should be modeled as a beta-mixture or transformed first and fitted with a normal-mixture.
We used outcomes from bootstrapped goodness-of-fit tests to determine which approach is less sensitive toward potential violation
of distributional assumptions. |
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Keywords: | |
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