Common errors in the implementation and interpretation of microarray studies

Jeff Reeve, Philip F. Halloran, Bruce Kaplan

Research output: Contribution to journalArticle

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
Externally publishedYes

ASJC Scopus subject areas

  • Transplantation
  • Medicine(all)

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