geneImportanceNetwork.BigBang {galgo} | R Documentation |
Computes the number of times top-ranked-genes are present in models.
## S3 method for class 'BigBang' geneImportanceNetwork(o, filter="none", subset=TRUE, mord=min(ncol(o$data$data),50), inc.rank=FALSE, inc.index=FALSE, ...)
filter |
The |
subset |
Second level of filter. |
mord |
The number of “top-ranked-genes” to highlight. |
inc.rank |
Incluye the gene rank in rownames and colnames. |
inc.index |
Incluye the gene index in rownames and colnames. |
Returns a matrix with number of overlaps for every top-ranked-gene pairs. The order correspond to rank.
Victor Trevino. Francesco Falciani Group. University of Birmingham, U.K. http://www.bip.bham.ac.uk/bioinf
Goldberg, David E. 1989 Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley Pub. Co. ISBN: 0201157675
For more information see BigBang
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*distanceImportanceNetwork()
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## Not run: #bb is a BigBang object bb gin <- geneImportanceNetwork(bb) gin gin <- geneImportanceNetwork(bbm, mord=5) gin ## End(Not run)