Using kernelized partial canonical correlation analysis to study directly coupled side chains and allostery in small G proteins.

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Bibliographic Details
Title: Using kernelized partial canonical correlation analysis to study directly coupled side chains and allostery in small G proteins.
Authors: Soltan Ghoraie L; Department of Computer Science and Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, ON, Canada., Burkowski F; Department of Computer Science and Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, ON, Canada., Zhu M; Department of Computer Science and Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, ON, Canada.
Source: Bioinformatics (Oxford, England) [Bioinformatics] 2015 Jun 15; Vol. 31 (12), pp. i124-32.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1367-4811
DOI:10.1093/bioinformatics/btv241