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Network reconstruction from high-dimensional data based on spectral decomposition and consensus strategy
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eprifti/scalenet
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--- title: "Readme" author: "Edi Prifti" date: "`r Sys.Date()`" output: html_document --- ```{r setup, include=FALSE} knitr::opts_chunk$set(echo = TRUE) ``` ## Installation guide ```{r} # install the CRAN packages install.packages(c("doSNOW", "doParallel", "bnlearn","fpc","e1071","prettyR"), dependencies = TRUE) # There is a bioconductor package if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("minet") ``` ## Including Plots You can also embed plots, for example: ```{r pressure, echo=FALSE} plot(pressure) ``` Note that the `echo = FALSE` parameter was added to the code chunk to prevent printing of the R code that generated the plot.
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