![]() ![]() and a Bioconductor version was implemented in the made4 Bioconductor package by Culhane et al., (2002) and the method was also used in joint and multi-table factorization methods (Culhane et al., 2003 Meng et al., 2014). It has been successfully applied to microarray transcriptomics data (Fellenberg et al., 2001). In numerical ecology, it is commonly applied to analyzing species abundance count matrices (M. His trainee Michael Greenacre later popularized its use with large, sparse count data in diverse settings and disciplines, including linguistics, business and marketing research, and archaeology (Greenacre, 1984, 2010). Correspondence analysis was originally proposed in 1935 (Hirschfeld, 1935), and was later developed by Benzécri as part of the French duality diagram framework for multivariate statistics (Benzécri, 1973 Holmes, 2008). Because of its speed (which is comparable to PCA) and its performance it has been adopted by many fields. Decomposition of the Pearson residuals is a excellent method for exploratory analysis of count data and is also know as correspondence analysis.
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