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Implements a generalized version of principal components analysis (GLM-PCA) for dimension reduction of non-normally distributed data such as counts or binary matrices. Townes FW, Hicks SC, Aryee MJ, Irizarry RA (2019) <doi:10.1101/574574>. Townes FW (2019) <arXiv:1907.02647>.

copied from cf-staging / r-glmpca
Type Size Name Uploaded Downloads Labels
conda 174.6 kB | noarch/r-glmpca-0.1.0-r40h6115d3f_1.tar.bz2  4 years and 6 months ago 2713 main
conda 175.1 kB | noarch/r-glmpca-0.1.0-r36h6115d3f_1.tar.bz2  4 years and 6 months ago 2694 main
conda 175.0 kB | noarch/r-glmpca-0.1.0-r36h6115d3f_0.tar.bz2  4 years and 6 months ago 2720 main

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