Dimensionality Reduction - PCAs and UMAPs6 days ago
PCA functions | Basic use | Editing the sampleTable | plotPCA() function arguments | Annotating samples by colour and/or shape | Colour and shape palettes | NA values | Components | Point size | Text annotations | Output of getPCA() | getPCA() function arguments | Setting number of top variable windows to use | Samples used to calculate variability | Inputting a pre-calculated dataTable | Normalisation Method | Filtering regions | UMAPs | Session info