Improved analysis of bacterial CGH data beyond the log-ratio paradigm
Open Access
- 19 March 2009
- journal article
- research article
- Published by Springer Nature in BMC Bioinformatics
- Vol. 10 (1) , 91
- https://doi.org/10.1186/1471-2105-10-91
Abstract
Existing methods for analyzing bacterial CGH data from two-color arrays are based on log-ratios only, a paradigm inherited from expression studies. We propose an alternative approach, where microarray signals are used in a different way and sequence identity is predicted using a supervised learning approach.Keywords
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