`singleCellHaystack` is a package for finding surprising needles (=genes) in haystacks (=single cell transcriptome data). Single-cell RNA-seq (scRNA-seq) data is often converted to fewer dimensions using Principal Component Analysis (PCA) and represented in 2-dimentional plots (e.g. t-SNE or UMAP plots). `singleCellHaystack` can be used for finding genes that are expressed in subsets of cells that are non-randomly distributed in these multi-dimensional spaces or 2D representations.
|License||MIT + file LICENSE|
|Package repository||View on GitHub|
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