compmedlab/MCbiclust: Massive correlating biclusters for gene expression data and associated methods
Custom made algorithm and associated methods for finding, visualising and analysing biclusters in large gene expression data sets. Algorithm is based on with a supplied gene set of size n, finding the maximum strength correlation matrix containing m samples from the data set.
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Package details |
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| Author | Robert Bentham |
| Bioconductor views | Clustering GeneExpression ImmunoOncology Microarray RNASeq Software StatisticalMethod |
| Maintainer | Robert Bentham <robert.bentham.11@ucl.ac.uk> |
| License | GPL-2 |
| Version | 1.7.2 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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