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b/man/get_grn.Rd |
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% Generated by roxygen2: do not edit by hand |
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% Please edit documentation in R/get_grn.R |
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\name{get_grn} |
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\alias{get_grn} |
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\title{Gene Regulatory Network} |
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\usage{ |
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get_grn(X, cluster = NULL, method = c("aracne"), type = "gene") |
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} |
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\arguments{ |
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\item{X}{a \code{data.frame}/\code{matrix} with gene expression |
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(genes in columns, samples in rows).} |
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\item{cluster}{(optional) clustering result from |
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\code{\link[timeOmics]{getCluster}}} |
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\item{method}{network building method, one of c('aracne')} |
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\item{type}{character added to node metadata} |
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} |
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\value{ |
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An igraph object if no cluster informations are given. |
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Otherwise, it returns a list of igraph object (\code{list.igraph}) with |
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a subgraph for each cluster and a global graph with all the genes. |
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} |
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\description{ |
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Get Gene Regulatory Network (GRN) from a data.frame. |
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Optionally, if the gene are clustered, sub_network are build for |
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each cluster. |
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} |
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\details{ |
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Methods of GRN reconstruction are as follows: |
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'aracne': use ARACNe algorithm on Mutual Information (MI) adjency matrix |
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to remove low MI edges in triangles. |
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} |
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\examples{ |
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data(hmp_T2D) |
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# grn only on gene |
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cluster.mRNA <- timeOmics::getCluster(hmp_T2D$getCluster.res, |
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user.block = 'RNA') |
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X <- hmp_T2D$raw$RNA |
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grn.res <- get_grn(X = hmp_T2D$raw$RNA, |
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cluster = cluster.mRNA, |
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method = 'aracne') |
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} |
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\seealso{ |
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\code{\link[minet]{build.mim}}, |
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\code{\link[minet]{aracne}}, |
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\code{\link[timeOmics]{getCluster}} |
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} |