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Modeling the latent dimensions of multivariate signaling datasets
Karin J. Jensen
, Kevin A. Janes
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peer-review
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Dive into the research topics of 'Modeling the latent dimensions of multivariate signaling datasets'. Together they form a unique fingerprint.
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Mathematics
Mathematical Modeling
100%
Partial Least Squares
100%
Principal Component Analysis
100%
Principal Components
100%
Signaling Network
100%
Signalling Cascade
100%
Square Regression
100%
Starting Point
100%
Keyphrases
Analytical Tools
33%
Cell Behavior
33%
Cell Signaling
33%
Cell Signaling Pathways
33%
Component Method
33%
Covariation
33%
Hidden Structure
33%
Large-scale Dataset
33%
Latent Dimensions
100%
Mathematical Model
33%
Measurement Set
33%
Multivariate Data
33%
Organizing Principles
33%
Partial Least Squares Regression
33%
Principal Coordinate Analysis (PCoA)
33%
Protein Modification
33%
Reorient
33%
Signaling Cascades
33%
Signaling Network
33%
Sources of Variation
33%
Specific Hypothesis
33%
Systems Biology
33%
Computer Science
Component Analysis
50%
Hidden Structure
50%
Least Squares Method
50%
Mathematical Modeling
50%
Organizing Principle
50%
Principal Components
100%
Signaling Network
50%
Starting Point
50%
Medicine and Dentistry
Cell Function
50%
Partial Least Squares Regression
50%
Principal Component Analysis
50%
Protein Modification
50%
Signal Transduction
100%