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 language | English (US) |
|---|---|
| Pages (from-to) | 470-475 |
| Number of pages | 6 |
| Journal | Transplantation |
| Volume | 99 |
| Issue number | 3 |
| DOIs | |
| State | Published - Mar 4 2015 |
| Externally published | Yes |
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ASJC Scopus subject areas
- Transplantation
- Medicine(all)
Cite this
Common errors in the implementation and interpretation of microarray studies. / Reeve, Jeff; Halloran, Philip F.; Kaplan, Bruce.
In: Transplantation, Vol. 99, No. 3, 04.03.2015, p. 470-475.Research output: Contribution to journal › Article
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TY - JOUR
T1 - Common errors in the implementation and interpretation of microarray studies
AU - Reeve, Jeff
AU - Halloran, Philip F.
AU - Kaplan, Bruce
PY - 2015/3/4
Y1 - 2015/3/4
N2 - 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.
AB - 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=84930514184&partnerID=8YFLogxK
U2 - 10.1097/TP.0000000000000691
DO - 10.1097/TP.0000000000000691
M3 - Article
C2 - 25695786
AN - SCOPUS:84930514184
VL - 99
SP - 470
EP - 475
JO - Transplantation
JF - Transplantation
SN - 0041-1337
IS - 3
ER -