CCLasso – Correlation Inference for Compositional Data through Lasso

CCLasso

:: DESCRIPTION

CCLasso is a novel method based on least squares with ℓ1 penalty to infer the correlation network for latent variables of compositional data from metagenomic data

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::DEVELOPER

Fang Huaying (hyfang@pku.edu.cn) , Minghua Deng

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows
  • R

:: DOWNLOAD

 CCLasso

:: MORE INFORMATION

Citation

CCLasso: Correlation Inference for Compositional Data through Lasso.
Fang H, Huang C, Zhao H, Deng M.
Bioinformatics. 2015 Jun 4. pii: btv349.