Co-expression analysis for expression profiles arising from high-throughput sequencing data. Feature (e.g., gene) profiles are clustered using adapted transformations and mixture models or a K-means algorithm, and model selection criteria (to choose an appropriate number of clusters) are provided.
|Author||Andrea Rau, Cathy Maugis-Rabusseau, Antoine Godichon-Baggioni|
|Bioconductor views||GeneExpression RNASeq Sequencing Software|
|Maintainer||Andrea Rau <[email protected]>|
|Package repository||View on GitHub|
Install the latest version of this package by entering the following in R:
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.