therese-pkg.r-forge.r-project.org

therese-pkg

Welcome to therese project! The purpose of this package is to propose a method for inferring networks from expression data obtained in various experimental condition. The cLasso (consensus Lasso) method is implemented. Find the project summary page. Installation is done by first installing a required package from CRAN:. Install.packages(c("igraph", repos="http:/ cran.r-project.org/"). And then install therese directly from R-Forge:. Or, alternatively,. If you are using a Mac.

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Welcome to therese project! The purpose of this package is to propose a method for inferring networks from expression data obtained in various experimental condition. The cLasso (consensus Lasso) method is implemented. Find the project summary page. Installation is done by first installing a required package from CRAN:. Install.packages(c(igraph, repos=http:/ cran.r-project.org/). And then install therese directly from R-Forge:. Or, alternatively,. If you are using a Mac.

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therese-pkg | therese-pkg.r-forge.r-project.org Reviews

https://therese-pkg.r-forge.r-project.org

Welcome to therese project! The purpose of this package is to propose a method for inferring networks from expression data obtained in various experimental condition. The cLasso (consensus Lasso) method is implemented. Find the project summary page. Installation is done by first installing a required package from CRAN:. Install.packages(c("igraph", repos="http:/ cran.r-project.org/"). And then install therese directly from R-Forge:. Or, alternatively,. If you are using a Mac.

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nathalievilla.org

NV² | Software

http://www.nathalievilla.org/software.html

Network inference and mining. Very short) Introduction to Git. Package that implements stochastic self-organizing maps (SOM) variants for numeric and non numeric datasets. Role in the project: Maintainer and author. Project home page on R. Current version: 1.0 (March 2015). Comes with a Web User Interface (using shiny. That can be used either on-line at http:/ shiny.nathalievilla.org/sombrero. Or directly loading the package into your R. Session and using the command line:. If you are using SOMbrero.

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Welcome to therese project! The purpose of this package is to propose a method for inferring networks from expression data obtained in various experimental condition. The cLasso (consensus Lasso) method is implemented. Find the project summary page. Installation is done by first installing a required package from CRAN:. Install.packages(c("igraph", repos="http:/ cran.r-project.org/"). And then install therese directly from R-Forge:. Or, alternatively,. If you are using a Mac.

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