glmgraph 1.0.3 – Graph-Constrained Regularization for Sparse Generalized Linear Models

glmgraph 1.0.3

:: DESCRIPTION

glmgraph is an R package for variable selection and predictive modeling of structured genomic data

::DEVELOPER

Li Chen <li.chen at emory.edu>

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows/ MacOsX
  • R

:: DOWNLOAD

 glmgraph

:: MORE INFORMATION

Citation

glmgraph: An R Package for Variable Selection and Predictive Modeling of Structured Genomic Data.
Chen L, Liu H, Kocher JA, Li H, Chen J.
Bioinformatics. 2015 Aug 26. pii: btv497.

rGLM 1.1 – Generalize Linear Modeling with Regularization for Case-control Association Studies

rGLM 1.1

:: DESCRIPTION

rGLM (generalized linear model with regularization) generalized linear modeling with regularization for Case-control association studies; suitable for both common disease/common variants and common disease/rare variance scenarios.

::DEVELOPER

Statistical Genetics and Bioinformatics Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 rGLM

:: MORE INFORMATION

Citation

Guo, W. and Lin, S. (2009)
Generalized linear modeling with regularization for detecting common disease rare haplotype association.
Genetics Epidemiology. DOI: 10.1002/gepi.20382.

Exit mobile version