Variance-stabilizing transformations for two-color microarrays |
| |
Authors: | Durbin Blythe P Rocke David M |
| |
Institution: | Center for Image Processing and Integrated Computing, University of California, Davis 95616, USA. bpdurbin@ucdavis.edu |
| |
Abstract: | MOTIVATION: Authors of several recent papers have independently introduced a family of transformations (the generalized-log family), which stabilizes the variance of microarray data up to the first order. However, for data from two-color arrays, tests for differential expression may require that the variance of the difference of transformed observations be constant, rather than that of the transformed observations themselves. RESULTS: We introduce a transformation within the generalized-log family which stabilizes, to the first order, the variance of the difference of transformed observations. We also introduce transformations from the 'started-log' and log-linear-hybrid families which provide good approximate variance stabilization of differences. Examples using control-control data show that any of these transformations may provide sufficient variance stabilization for practical applications, and all perform well compared to log ratios. |
| |
Keywords: | |
本文献已被 PubMed Oxford 等数据库收录! |
|