Joint estimation of calibration and expression for high-density oligonucleotide arrays

Motivation: The need for normalization in microarray experiments has been well documented in the literature. Currently, most analysis methods treat normalization and analysis as a series of steps, with summarized data carried forward to the next step. Results: We present a unified algorithm which incorporates normalization and class comparison in one analysis using probe level perfect match and mismatch data. The algorithm is based on calibration models common to most biological assays, and the resulting chip-specific parameters have a natural interpretation. We show that the algorithm fits into the statistical generalized linear models framework, describe a practical fitting strategy and To whom correspondence should be addressed 1 

• Type: Journal
• Year: 2006
• Where: BIOINFORMATICS
• Authors: Ann L. Oberg, Douglas W. Mahoney, Karla V. Ballman, Terry M. Therneau
• Keywords: Algorithm, Analysis, BIOINFORMATICS 2006, Unified Algorithm