Packaged: Mon Nov 17 00:10:39 2008; strimmer

Author: Juliane Schaefer, Rainer Opgen-Rhein, and Korbinian Strimmer.
Description: GeneNet is a package for analyzing gene expression (time
series) data with focus on the inference of gene networks. In
particular, GeneNet implements the methods of Schaefer and
Packaged: Sat Oct 10 12:05:58 2009; strimmer

series) data with focus on the inference of gene networks.  In

Description: The goal of time delay linear model is to fit a linear
regression model using a set of putative regulators to estimate
the transcription pattern of a specific target gene.

Title: Construct time delay gene regulatory network
Description: pkg{GeneReg} is an R package for inferring time delay gene
regulatory network using time course gene expression profiles.
The main idea of time delay linear model is to fit a linear

Description: GeneReg is an R package for inferring time delay gene

Citation: Tao Huang, Lei Liu, Ziliang Qian, Kang Tu, Yixue Li, Lu Xie:
Using GeneReg to construct time delay gene regulatory networks.

Description: Clustering Genes using Self-Organizing Map

Description: GeneTS is a package for analysing multiple gene expression
time series data. Currently, GeneTS implements methods for cell cycle
analysis and for inferring large sparse graphical Gaussian models.
For plotting the inferred genetic networks GeneTS requires the "graph"
and "Rgraphviz" packages (optional, available from www.bioconductor.org).

Title: Genetic Time Series and Graphical Models
Optional: graph (>= 1.2.0), Rgraphviz (>= 1.3.0)
For plotting the inferred genetic networks GeneTS requires the
"graph" and "Rgraphviz" packages (available from www.bioconductor.org).

Title: Microarray Time Series and Network Analysis
Author: Miika Ahdesmaki, Konstantinos Fokianos,
Rainer Opgen-Rhein, Juliane Schaefer, and
Description: GeneTS is a package for analyzing gene expression
(time series) data. Currently, two kinds of analyzes are supported:
the idenfication of periodic genes, and the inference of
large-scale gene association networks.  In order to recover
networks GeneTS implements a strategy for fast model selection
of graphical Gaussian models (GGMs) via local fdr multiple testing.
GeneTS uses the "graph" and "Rgraphviz" packages, available from
biocViews: TimeCourse, GraphsAndNetworks, MultipleComparisons, Visualization
Packaged: Fri Apr 28 14:20:34 2006; strimmer