{ "_id": "6ac8aa76de46216d5edd554c", "Package": "scBFA", "Version": "1.26.0", "Date": "2019-03-09", "Title": "A dimensionality reduction tool using gene detection pattern to\nmitigate noisy expression profile of scRNA-seq", "Description": "This package is designed to model gene detection pattern\nof scRNA-seq through a binary factor analysis model. This model\nallows user to pass into a cell level covariate matrix X and\ngene level covariate matrix Q to account for nuisance\nvariance(e.g batch effect), and it will output a low\ndimensional embedding matrix for downstream analysis.", "Authors@R": "c(person(given = \"Ruoxin\",\nfamily = \"Li\",\nrole = c(\"aut\", \"cre\"),\nemail = \"uskli@ucdavis.edu\"),\nperson(given = \"Gerald\",\nfamily = \"Quon\",\nrole = c(\"aut\"),\nemail = \"gquon@ucdavis.edu\"))", "URL": "https://github.com/ucdavis/quon-titative-biology/BFA", "BugReports": "https://github.com/ucdavis/quon-titative-biology/BFA/issues", "biocViews": "SingleCell, Transcriptomics,\nDimensionReduction,GeneExpression, ATACSeq, BatchEffect, KEGG,\nQualityControl", "VignetteBuilder": "knitr", "RoxygenNote": "7.0.2", "License": "GPL-3 + file LICENSE", "LazyData": "true", "Encoding": "UTF-8", "Config/pak/sysreqs": "cmake libglpk-dev make libgsl0-dev libicu-dev\nlibpng-dev libuv1-dev libxml2-dev libssl-dev python3 zlib1g-dev", 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