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gene_networks_inference [2019/05/22 06:41]
admin [Data]
gene_networks_inference [2019/06/03 19:16] (current)
admin [Software]
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 **Pigengene:​** This R package provides an efficient way to perform network analysis and to infer biological signatures from gene expression profiles. The signatures are independent from the underlying platform, e.g., it can infer the signatures using data from microarray and evaluate them in an independent RNA Seq dataset. It is approved by, and publicly available from, [[https://​bioconductor.org/​packages/​Pigengene|Bioconductor]]. **Pigengene:​** This R package provides an efficient way to perform network analysis and to infer biological signatures from gene expression profiles. The signatures are independent from the underlying platform, e.g., it can infer the signatures using data from microarray and evaluate them in an independent RNA Seq dataset. It is approved by, and publicly available from, [[https://​bioconductor.org/​packages/​Pigengene|Bioconductor]].
  
-**iNETgrate:​** ​[[https://​bitbucket.org/​habilzare/​genetwork/​src/​master/​code/​iNETgrate/​|This]] R package is useful to integrate DNA methylation and gene expression data into //a single //network. This approach leads to identification of more robust gene modules compared to conventional coexpression networks. The package will be publicly available after review and approval by Bioconductor.+**iNETgrate:​** This R package is useful to integrate DNA methylation and gene expression data into //a single //​network ​[[[https://​bitbucket.org/​habilzare/​genetwork/​src/​master/​|code]]]. This approach leads to identification of more robust gene modules compared to conventional coexpression networks. The package will be publicly available after review and approval by Bioconductor.