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fastglmpca: Fast Algorithms for Generalized Principal Component Analysis
Implements fast, scalable optimization algorithms for fitting generalized principal components analysis (GLM-PCA) models, as described in "A Generalization of Principal Components Analysis to the Exponential Family" Collins M, Dasgupta S, Schapire RE (2002, ISBN:9780262271738), and subsequently "Feature Selection and Dimension Reduction for Single-Cell RNA-Seq Based on a Multinomial Model" Townes FW, Hicks SC, Aryee MJ, Irizarry RA (2019) <doi:10.1186/s13059-019-1861-6>.
Getting started
Browse package contents
Package details |
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| Author | Eric Weine [aut, cre], Peter Carbonetto [aut], Matthew Stephens [aut] |
| Maintainer | Eric Weine <ericweine15@gmail.com> |
| License | GPL (>= 2) |
| Version | 0.1-103 |
| URL | https://github.com/stephenslab/fastglmpca |
| Package repository | View on CRAN |
| Installation |
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