aml | AML gene expression profile |
balance | Balances the number of samples |
calculate.beta | Estimates an appropriate power value |
check.nas | Removes 'NA's from a data matrix |
check.pigengene.input | Quality check on the imput |
combine.networks | Combines two or more networks |
compact.tree | Reduces the number of genes in a decision tree |
compute.pigengene | Computes the eigengenes |
dcor.matrix | Computes distance correlation for give matrix |
draw.bn | Draws a Bayesian network |
eigengenes33 | Eigengenes of 33 modules |
gene.mapping | Maps gene IDs |
get.fitted.leaf | Returs the leaf for each sample |
get.genes | List the (most relevant) genes for a decision tree. |
get.used.features | Return the features used in a tree |
learn.bn | Learns a Bayesian network |
make.decision.tree | Creates a decision tree to classify samples using the... |
mds | MDS gene expression profile |
message.if | Conditional messaging. |
module.heatmap | Plots heatmaps for modules |
one.step.pigengene | Runs the entire Pigengene pipeline |
pheatmap.type | Plots heatmap with clustering only within types. |
pigengene | An object of class 'Pigengene' |
pigengene-class | The pigengene class |
Pigengene-package | Infers robust biological signatures from gene expression data |
plot.pigengene | Plots and saves a 'pigengene' object |
preds.at | Prediction using a possibly compacted tree |
project.eigen | Infers eigengenes for given expression data |
pvalues.manova | Computes pvalues for multi-class differential expression |
save.if | Saves an object verbosely. |
wgcna.one.step | Module identification |
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