msgl 2.3.9 – High Dimensional Multiclass Classification using Sparse Group Lasso

msgl 2.3.9

:: DESCRIPTION

The R package msgl (multinomial sparse group lasso) fits multinomial models for e.g. multiclass classification with a sparse group lasso penalty.

::DEVELOPER

Niels Richard Hansen 

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows/MacOsX
  • R

:: DOWNLOAD

 msgl

:: MORE INFORMATION

Citation

Bioinformatics. 2014 May 15;30(10):1417-23. doi: 10.1093/bioinformatics/btu044. Epub 2014 Jan 24.
Modeling tissue contamination to improve molecular identification of the primary tumor site of metastases.
Vincent M1, Perell K, Nielsen FC, Daugaard G, Hansen NR.

Decision Forest 2 – Novel Pattern Recognition method for multiclass Classification in Microarray data analysis

Decision Forest 2

:: DESCRIPTION

Decision Forest is a novel pattern-recognition method for analysis of data from microarray experiments, proteomics research, and predictive toxicology

::DEVELOPER

the National Center for Toxicological Research (NCTR).

:: SCREENSHOTS

:: REQUIREMENTS

  • Linux/Windows/MacOsX
  • Java

:: DOWNLOAD

  Decision Forest

:: MORE INFORMATION

Citation

Multiclass Decision Forest–a novel pattern recognition method for multiclass classification in microarray data analysis.
Hong H, Tong W, Perkins R, Fang H, Xie Q, Shi L.
DNA Cell Biol. 2004 Oct;23(10):685-94.