A Nonparametric Approach to Detect Nonlinear Correlation in Gene Expression
A Nonparametric Approach to Detect Nonlinear Correlation in Gene Expression
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Publisher
United States: Taylor & Francis
Journal title
Language
English
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Publication information
Publisher
United States: Taylor & Francis
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Scope and Contents
Contents
We propose a distribution-free approach to detect nonlinear relationships by reporting local correlation. The effect of our proposed method is analogous to piecewise linear approximation although the method does not utilize any linear dependency. The proposed metric, maximum local correlation, was applied to both simulated cases and expression micr...
Alternative Titles
Full title
A Nonparametric Approach to Detect Nonlinear Correlation in Gene Expression
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Record Identifier
TN_cdi_jstor_primary_25765358
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_jstor_primary_25765358
Other Identifiers
ISSN
1061-8600
E-ISSN
1537-2715
DOI
10.1198/jcgs.2010.08160
