FastGGM 20151105 – Algorithm for the inference of Gaussian Graphical Model in Biological Networks

FastGGM 20151105

:: DESCRIPTION

FastGGM is an R package for efficiently studying conditional dependence among variables, which is well known as the Gaussian graphical model (GGM).

::DEVELOPER

Chen Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • R
:: DOWNLOAD

 FastGGM

:: MORE INFORMATION

Citation

Wang T, Ren Z, Ding Y, Fang Z, Sun Z, MacDonald ML, Sweet RA, Wang J, Chen W.
FastGGM: An Efficient Algorithm for the Inference of Gaussian Graphical Model in Biological Networks.
PLoS Comput Biol. 2016 Feb 12;12(2):e1004755. doi: 10.1371/journal.pcbi.1004755. PMID: 26872036; PMCID: PMC4752261.

bgmm 1.8.3 – Belief-based Gaussian Mixture Modeling

bgmm 1.8.3

:: DESCRIPTION

bgmm is an R package for knowledge-based mixture modeling. It implements mixture modeling variants, which differ with respect to the amount of incorporated knowledge, and spread the entire range from unsupervised to supervised modeling.

:: DEVELOPER

Vingron lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows/ MacOsX
  • R

:: DOWNLOAD

 bgmm

:: MORE INFORMATION

Citation

Introducing knowledge into differential expression analysis.
Szczurek E, Biecek P, Tiuryn J, Vingron M.
J Comput Biol. 2010 Aug;17(8):953-67. doi: 10.1089/cmb.2010.0034.