An unsupervised deep learning method for data alignment, integration and estimation of per-cell differences in -omic data (e.g. gene expression) across datasets (conditions, tissues, species). See Johansen and Quon (2019) <doi:10.1101/504944> for more details.
|Author||Nelson Johansen [aut, cre], Gerald Quon [aut]|
|Bioconductor views||DimensionReduction NeuralNetwork SingleCell Transcriptomics|
|Maintainer||Nelson Johansen <firstname.lastname@example.org>|
|Package repository||View on Bioconductor|
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