J 2010

The MicroArray Quality Control (MAQC)-IIII study of common practices for the development and validation of microarray-based predictive models

Basic information

Original name

The MicroArray Quality Control (MAQC)-IIII study of common practices for the development and validation of microarray-based predictive models

Edition

Nature biotechnology, NEW YORK, NATURE PUBLISHING GROUP, 2010, 1087-0156

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Confidentiality degree

není předmětem státního či obchodního tajemství

Impact factor

Impact factor: 31.090

DOI

UT WoS

000280757500023
Změněno: 29/8/2014 14:31, doc. Ing. Vlad Popovici, PhD

Abstract

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.