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A Novel Higher-Order Generalized Singular Value Decomposition for Comparative Analysis of Multiple Genome-Scale Datasets - Ontify
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A Novel Higher-Order Generalized Singular Value Decomposition for Comparative Analysis of Multiple Genome-Scale Datasets
Scientific report.
Statements about
A Novel Higher-Order Generalized Singular Value Decomposition for Comparative Analysis of Multiple Genome-Scale Datasets
Title
A Novel Higher-Order Generalized Singular Value Decomposition for Comparative Analysis of Multiple Genome-Scale Datasets
Instance Of
Technical Report
Publication Date
June 2006
Publisher
Stanford University
Yahoo! Research
Language of Work or Name
English
Author
Sri Priya Ponnapalli
Gene H. Golub
Orly Alter
Funder
National Science Foundation Division of Mathematical Sciences
Described by Source
A Higher-Order Generalized Singular Value Decomposition for Comparison of Global mRNA Expression From Multiple Organisms
The GSVD: Where Are the Ellipses?, Matrix Trigonometry, and More
Main Subject
Multi-Tensor Decomposition
Series Ordinal
:
1
Series Ordinal
:
2
Series Ordinal
:
3
Subject Has Role
:
Corresponding Author
Subject Has Role
:
Principal Investigator
Part Of
:
National Science Foundation
Title
:
Workshop on Algorithms for Modern Massive Datasets
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