title: Common errors in the implementation and interpretation of microarray studies.
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.
authors.affiliation: 1 Alberta Transplant Applied Genomics Center, University of Alberta, Edmonton, AB, Canada. 2 Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, Canada. 3 Department of Medicine, Division of Nephrology and Transplant Immunology, University of Alberta, Edmonton, AB, Canada. 4 University of Kansas, Kansas City, KS.
authors.forename: Jeff
authors.initials: J
authors.lastname: Reeve
authors.forename: Philip F
authors.initials: PF
authors.lastname: Halloran
authors.forename: Bruce
authors.initials: B
authors.lastname: Kaplan
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003627:Data Interpretation, Statistical; D006084:Graft Rejection; D006085:Graft Survival; D006358:Hot Temperature; D006801:Humans; D007165:Immunosuppression Therapy / Q000379:methods*; D007166:Immunosuppressive Agents / Q000627:therapeutic use; D016030:Kidney Transplantation; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D016377:Organ Transplantation; D025341:Principal Component Analysis; D015203:Reproducibility of Results; D012107:Research Design; D012984:Software
chemical_list: D007166:Immunosuppressive Agents