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fischuu

REPPlab:R Interface to 'EPP-Lab', a Java Program for Exploratory Projection Pursuit

An R Interface to 'EPP-lab' v1.0. 'EPP-lab' is a Java program for projection pursuit using genetic algorithms written by Alain Berro and S. Larabi Marie-Sainte and is included in the package. The 'EPP-lab' sources are available under https://github.com/fischuu/EPP-lab.git.

Maintained by Daniel Fischer. Last updated 2 years ago.

openjdk

2.95 score 30 scripts 1 dependents

cran

mixKernel:Omics Data Integration Using Kernel Methods

Kernel-based methods are powerful methods for integrating heterogeneous types of data. mixKernel aims at providing methods to combine kernel for unsupervised exploratory analysis. Different solutions are provided to compute a meta-kernel, in a consensus way or in a way that best preserves the original topology of the data. mixKernel also integrates kernel PCA to visualize similarities between samples in a non linear space and from the multiple source point of view <doi:10.1093/bioinformatics/btx682>. A method to select (as well as funtions to display) important variables is also provided <doi:10.1093/nargab/lqac014>.

Maintained by Nathalie Vialaneix. Last updated 1 years ago.

2.78 score

cran

REPPlabShiny:'REPPlab' via a Shiny Application

Performs exploratory projection pursuit via 'REPPlab' (Daniel Fischer, Alain Berro, Klaus Nordhausen & Anne Ruiz-Gazen (2019) <doi:10.1080/03610918.2019.1626880>) using a Shiny app.

Maintained by Klaus Nordhausen. Last updated 2 years ago.

openjdk

1.00 score

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