Measuring similarity between gene expression profiles: a Bayesian approach
Open Access
- 1 January 2009
- journal article
- Published by Springer Nature in BMC Genomics
- Vol. 10 (Suppl 3) , S14
- https://doi.org/10.1186/1471-2164-10-s3-s14
Abstract
Grouping genes into clusters on the basis of similarity between their expression profiles has been the main approach to predict functional modules, from which important inference or further investigation decision could be made. While the univocal determination of similarity metric is important, current practices are normally involved with Euclidean distance and Pearson correlation, of which assumptions are not likely the case for high-throughput microarray data.Keywords
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