Description Usage Arguments Value Author(s) Examples
Due to the shifting of compounds over the clusters for the different methods,
it is possible that the same gene is found significant for a different cluster
in another method. These can be tracked with the FindGenes
function. Per method
and per cluster, it will take note of the genes found significant and investigate
if these were also find for another cluster in another method.
1 |
DataLimma |
Preferably an output of the |
names |
Optional. Names of the methods. |
The returned value is a list with an element per cluster and per cluster one for every gene. Per gene, a vector is given which contain the methods for which the gene was found. If the cluster is changed compared to the reference method of DataLimma, this is indicated with an underscore.
Marijke Van Moerbeke
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | data(fingerprintMat)
data(targetMat)
data(geneMat)
MCF7_F = Cluster(fingerprintMat,type="data",distmeasure="tanimoto",normalize=FALSE,
method=NULL,clust="agnes",linkage="ward",gap=FALSE,maxK=55,StopRange=FALSE)
MCF7_T = Cluster(targetMat,type="data",distmeasure="tanimoto",normalize=FALSE,
method=NULL,clust="agnes",linkage="ward",gap=FALSE,maxK=55,StopRange=FALSE)
MCF7_DiffGenes_FandT10=DiffGenes(list(MCF7_F,MCF7_T),Selection=NULL,GeneExpr=geneMat,
nrclusters=7,method="limma",sign=0.05,top=10,fusionsLog = TRUE, WeightClust = TRUE,
names = NULL)
MCF7_SharedGenes=FindGenes(DataLimma=MCF7_DiffGenes_FandT10,names=c("FP","TP"))
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