An S4 class object that contains data matrices, HVGs, feature metadata, neighbourhood graphs, reduction embeddings, cluster assignments, and benchmarking results.
countsRaw counts matrix in dgCMatrix format.
normalisedNormalised matrix in dgCMatrix format.
norm.scaledHVG subset of normalised and scaled matrix in matrix format.
highly.variable.geneslist of highly variable genes in character format.
feature_metadatadata frame containing feature-level metadata.
graphslist of generated neighbourhood graphs (distances)
computational_reductionslist of reductions to improve computational efficiency, i.e. PCA or dbMAP
integration_reductionslist of integration output in reduction format
visualisation_reductionslist of visualisation reductions, i.e. t-SNE, UMAP, etc.
cluster_assignmentslist of cluster assignment output. A dataframe is assigned to each method containing subsequent parameter changes.
benchmarking_resultslist of benchmarking results corresponding to the cluster assignment dataframes.
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