Multivariate Surprisal Analysis of Gene Expression Levels

Multivariate Surprisal Analysis of Gene Expression Levels

We consider here multivariate data which we understand as the problem where each data point i is measured for two or more distinct variables. In a typical situation there are many data points i while the range of the different variables is more limited. If there is only one variable then the data ca...

Full description

Bibliographic Details
Main Authors: Francoise Remacle, Andrew S. Goldstein, Raphael D. Levine
Format: Article
Language:English
Published: MDPI AG 2016-12-01
Series:Entropy
Subjects:
multivariate analysis
maximal entropy
prostate cancer markers
personalized diagnostics
transcriptomics
high order SVD
tensor data format
ensemble phenotypes
Online Access:http://www.mdpi.com/1099-4300/18/12/445

Similar Items

Similar Items