Common errors in the implementation and interpretation of microarray studies

Jeff Reeve, Philip F. Halloran, Bruce Kaplan

    Research output: Contribution to journalReview articlepeer-review

    10 Scopus citations

    Abstract

    Microarray analysis is used to tackle transplant-related problems as diverse as diagnosing rejection, predicting graft loss, and determining who can safely be removed from immunosuppression. Highly accurate predictions seem to be the norm. Unfortunately, many of these studies are flawed, either through questionable experimental design or improper validation methods. In addition, results are often presented in a misleading manner which exaggerates their true worth. In this paper, we describe the most common and serious errors and misrepresentations.

    Original languageEnglish (US)
    Pages (from-to)470-475
    Number of pages6
    JournalTransplantation
    Volume99
    Issue number3
    DOIs
    StatePublished - Mar 4 2015

    ASJC Scopus subject areas

    • Transplantation

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