Abstract
Affymetrix human gene expression microarrays are widely used in gene expression analysis. However, the comparability of data analyzed in different laboratories is not self-evident hindering integration of multiple data sets. In this study, we introduce a novel normalization method, Weibull distribution based normalization that makes the data from different laboratories easier to integrate and compare. The method normalizes the samples by correcting the ML-estimates of the parameters of Weibull distribution to be the same in every sample of the same array generation. The effects of the Weibull distribution based normalization were studied by comparing the distributions of the samples, examining the deviations of expression levels of housekeeping genes, and clustering the data.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
