@ParametersAreNonnullByDefault

Package ubic.gemma.core.analysis.singleCell

This package contains classes for analysing single-cell expression data.

• computing sparsity metrics with SingleCellSparsityMetrics
• computing descriptive statistics with SingleCellDescriptive
• split assays into sub-assays (and materials in sub-materials) for representing pseudo-bulks
• aggregating expression data into vectors applicable to sub-assays

Once transformed in this way, the data becomes suitable for preprocessing and analysis.

Author:

poirigui

Class Summary

Class	Description
SingleCellDescriptive	Descriptive statistics for single cell data.
SingleCellSlicerUtils	Utilities for slicing single cell data.
SingleCellSparsityMetrics	Compute sparsity metrics for single cell data.