
BIOCONDUCTOR . ORG {
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Title:
Bioconductor - slalom
Description:
slalom is a scalable modelling framework for single-cell RNA-seq data that uses gene set annotations to dissect single-cell transcriptome heterogeneity, thereby allowing to identify biological drivers of cell-to-cell variability and model confounding factors. The method uses Bayesian factor analysis with a latent variable model to identify active pathways (selected by the user, e.g. KEGG pathways) that explain variation in a single-cell RNA-seq dataset. This an R/C++ implementation of the f-scLVM Python package. See the publication describing the method at https://doi.org/10.1186/s13059-017-1334-8.
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Keywords {🔍}
bioconductor, package, packages, slalom, version, singlecell, aut, rnaseq, release, source, davis, mccarthy, enter, install, binary, learn, developers, started, software, latent, variable, data, scalable, identify, model, method, factor, analysis, pathways, kegg, fsclvm, buettner, pratanwanich, marioni, stegle, installation, start, documentation, system, details, bioc, stats, url, macos, repository, git, clone, reports, code, registration,
Topics {✒️}
single-cell rna-seq data single-cell rna-seq dataset org/packages/slalom source repository single-cell rna-seqr joint galaxy/bioconductor conference f-sclvm python package bioconductor release source package source repository release latent variable model //code bioconductor support site gene set annotations identify biological drivers model confounding factors bayesian factor analysis versatile factor analysis script reference manual davis mccarthy [aut gz windows binary package installed identify active pathways florian buettner [aut] naruemon pratanwanich [aut] john marioni [aut] git clone https zip macos binary scalable modelling framework details biocviews stats system requirements package packages started install cell variability �f-sclvm macos binary bioconductor //bioconductor mccarthy dj download stats registration open cell kegg pathways explain variation publication describing � genome biology quietly = true older versions pdf news
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