| The pcaExplorer packageMain functions and info on the  | |
|---|---|
| pcaExplorer: analyzing time-lapse microscopy imaging, from detection to tracking | |
| Explore a dataset from a PCA perspective | |
| Working with Principal ComponentsFunctions for working efficiently with Principal Components | |
| Sample PCA plot for transformed data | |
| Sample PCA plot for transformed data | |
| Scree plot of the PCA on the samples | |
| Principal components (cor)relation with experimental covariates | |
| Principal components analysis on the genes | |
| Extract genes with highest loadings | |
| Plot significance of (cor)relations of covariates VS principal components | |
| Annotation and Functional interpretationFunctions for annotating and performing functional interpretation | |
| Get an annotation data frame from biomaRt | |
| Get an annotation data frame from org db packages | |
| Extract functional terms enriched in the DE genes, based on topGO | |
| Functional interpretation of the principal components | |
| Functional interpretation of the principal components, based on simple overrepresentation analysis | |
| Expression data exploration | |
| Pairwise scatter and correlation plot of counts | |
| Plot distribution of expression values | |
| Extract and plot the expression profile of genes | |
| Make a simulated DESeqDataSet for two or more experimental factors | |
| Deprecated functions in pcaExplorer | |
| Deprecated functions in pcaExplorer | |