Correspondence analysis applied to microarray data

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چکیده

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Correspondence analysis applied to microarray data.

Correspondence analysis is an explorative computational method for the study of associations between variables. Much like principal component analysis, it displays a low-dimensional projection of the data, e.g., into a plane. It does this, though, for two variables simultaneously, thus revealing associations between them. Here, we demonstrate the applicability of correspondence analysis to and ...

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ژورنال

عنوان ژورنال: Proceedings of the National Academy of Sciences

سال: 2001

ISSN: 0027-8424,1091-6490

DOI: 10.1073/pnas.181597298