2010
The MicroArray Quality Control (MAQC)-IIII study of common practices for the development and validation of microarray-based predictive models
Základní údaje
Originální název
The MicroArray Quality Control (MAQC)-IIII study of common practices for the development and validation of microarray-based predictive models
Vydání
Nature biotechnology, NEW YORK, NATURE PUBLISHING GROUP, 2010, 1087-0156
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Utajení
není předmětem státního či obchodního tajemství
Impakt faktor
Impact factor: 31.090
UT WoS
000280757500023
Změněno: 29. 8. 2014 14:31, doc. Ing. Vlad Popovici, PhD
Anotace
V originále
Gene expression data from microarrays are being applied to predict preclinical and clinical endpoints, but the reliability of these predictions has not been established. In the MAQC-II project, 36 independent teams analyzed six microarray data sets to generate predictive models for classifying a sample with respect to one of 13 endpoints indicative of lung or liver toxicity in rodents, or of breast cancer, multiple myeloma or neuroblastoma in humans. In total, >30,000 models were built using many combinations of analytical methods. The teams generated predictive models without knowing the biological meaning of some of the endpoints and, to mimic clinical reality, tested the models on data that had not been used for training. We found that model performance depended largely on the endpoint and team proficiency and that different approaches generated models of similar performance. The conclusions and recommendations from MAQC-II should be useful for regulatory agencies, study committees and independent investigators that evaluate methods for global gene expression analysis.