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Order-preserving factor analysis-application to longitudinal gene expression
Arnau Tibau Puig
*
,
Ami Wiesel
, Aimee K. Zaas
, Chris W. Woods
, Geoffrey S. Ginsburg
, Gilles Fleury
, Alfred O. Hero
*
Corresponding author for this work
The Rachel and Selim Benin School of Engineering and Computer Science
Research output
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Article
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peer-review
3
Scopus citations
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Keyphrases
Factor Analysis
100%
Order-preserving
100%
Analysis Application
100%
Longitudinal Gene Expression
100%
Factor Scores
33%
Unsupervised Method
33%
Sparsity
33%
Convex Optimization
33%
Gene Expression Data
33%
Factor Loadings
33%
Nonconvex Optimization
33%
Ordering Property
33%
Relative Order
33%
Certain Factor
33%
Order of Precedence
33%
Multivariate Time Series Data
33%
Order Factor
33%
Time Course Study
33%
Computer Science
Unsupervised Manner
100%
Time Series Data
100%
Sparsity
100%
Gene Expression Data
100%
Application Analysis
100%
Multivariate Time Series
100%
Engineering
Illustrates
100%
Sparsity
100%
Data Series
100%
Biochemistry, Genetics and Molecular Biology
Gene Expression
100%
Factor Analysis
100%
Gene Expression Data
33%
Mathematics
Factor Analysis
100%
Linear Models
33%
Factor Score
33%
Time Series Data
33%
Common Factor
33%