Computing reliable gene expression levels from microarray experiments is a sophisticated process with many potential pitfalls. Quality control is one of the most important steps i...
Recent research has demonstrated the utility of using supervised classification systems for automatic identification of low quality microarray data. However, this approach requires...
Brian E. Howard, Beate Sick, Imara Perera, Yang Ju...
Background: Gene expression microarray experiments are expensive to conduct and guidelines for acceptable quality control at intermediate steps before and after the samples are hy...
Lesley Jones, Darlene R. Goldstein, Gareth P. Hugh...
Background: Concomitant with the rise in the popularity of DNA microarrays has been a surge of proposed methods for the analysis of microarray data. Fully controlled "spike-i...
Qianqian Zhu, Jeffrey C. Miecznikowski, Marc S. Ha...
ll Text][Abstract] , April 1, 2006; 7 (2): 198-212.Biostat. K. J. Archer, C. I. Dumur, S. E. Joel and V. Ramakrishnan mixed-effects models Assessing quality of hybridized RNA in Af...