Article

Deep generative model embedding of single-cell RNA-Seq profiles on hyperspheres and hyperbolic spaces

2019-11-25

Abstract excerpt

Single-cell RNA-Seq (scRNA-seq) has become an invaluable tool for studying biological systems in health and diseases. While dimensionality reduction is a crucial step in interpreting the relation between cells based on scRNA-seq, current methods often are hampered by “crowding” of cells in the center of the latent space, biased by batch effects, or inadequately capture developmental relationships. Here, we introdu...

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Literature Corpus work: ee9648f5-10fc-52ee-8471-335da205d781
DOI: 10.1101/853457

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