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Microarray learning with ABC.

Published in Biostatistics (Oxford, England) • Jan 1, 2008
NobleIDNI9P64W23R98S14
Authors:
Dhammika Amaratunga
,
Javier Cabrera
,
Vladimir Kovtun

Abstract

Standard clustering algorithms when applied to DNA microarray data often tend to produce erroneous clusters. A major contributor to this divergence is the feature characteristic of microarray data sets that the number of predictors (genes) in such data far exceeds the number of samples by many order...

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