Matrix-variate discriminative analysis, integrative hypothesis testing, and Geno-Pheno A5 analyzer
Refereed conference paper presented and published in conference proceedings


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AbstractA general perspective is provided on both on hypothesis testing and discriminative analyses, by which matrix-variate discriminative analyses are proposed based on the matrix normal distribution, featured by a bi-linear extension of Fisher linear discriminant analysis and a further extension to binary variables. Moreover, a general formulation is proposed for integrative hypothesis testing and five typical categories are summarized. Furthermore, major techniques for variable selection are briefly elaborated. Finally, taking analyses of gene expression and exome sequencing as examples, we further propose a general procedure called Geno-Pheno A5 Analyzer for integrative discriminant analysis. © Springer-Verlag 2013.
All Author(s) ListXu L.
Name of Conference3rd Sino-Foreign-Interchange Workshop on Intelligent Science and Intelligent Data Engineering, IScIDE 2012
Start Date of Conference15/10/2012
End Date of Conference17/10/2012
Place of ConferenceNanjing
Country/Region of ConferenceChina
Detailed descriptioned. by J. Yang, F. Fang, and C. Sun.
Year2013
Month12
Day1
Volume Number7751 LNCS
PublisherSpringer Verlag
Place of PublicationGermany
Pages866 - 875
ISBN9783642366680
ISSN0302-9743
LanguagesEnglish-United Kingdom
KeywordsBi-linear fisher mapping, Confusion table testing, Exome sequencing analysis, Gene expression analysis, Geno-Pheno A5 analyzer, Matrix-variate discriminative analysis, Matrix-variate logistic regression

Last updated on 2020-14-10 at 02:22