quon-titative-biology/scAlign: An alignment and integration method for single cell genomics
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.
Getting started
Browse package contents
Package details |
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| Author | Nelson Johansen [aut, cre], Gerald Quon [aut] |
| Bioconductor views | DimensionReduction NeuralNetwork SingleCell Transcriptomics |
| Maintainer | Nelson Johansen <njjohansen@ucdavis.edu> |
| License | GPL-3 |
| Version | 1.8.0 |
| URL | https://github.com/quon-titative-biology/scAlign |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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