Unsupervised reduction of random noise in complex data by a row-specific,sorted principal component-guided method |
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| Authors: | Joseph W Foley Fumiaki Katagiri |
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| Institution: | (1) Department of Plant Biology, Microbial and Plant Genomics Institute, University of Minnesota, 1500 Gortner Ave, St. Paul, MN 55108, USA;(2) Current address: Graduate Genetics Program, Stanford University, Stanford, CA 94305, USA |
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| Abstract: | Background Large biological data sets, such as expression profiles, benefit from reduction of random noise. Principal component (PC)
analysis has been used for this purpose, but it tends to remove small features as well as random noise. |
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