r-celda 1.22.1
Propagated dependencies: r-withr@3.0.2 r-uwot@0.2.2 r-summarizedexperiment@1.36.0 r-stringr@1.5.1 r-singlecellexperiment@1.28.1 r-scran@1.34.0 r-scater@1.34.0 r-scales@1.3.0 r-s4vectors@0.44.0 r-rtsne@0.17 r-reshape2@1.4.4 r-rcppeigen@0.3.4.0.2 r-rcpp@1.0.13-1 r-rcolorbrewer@1.1-3 r-proc@1.18.5 r-plyr@1.8.9 r-mcmcprecision@0.4.0 r-matrixstats@1.4.1 r-matrix@1.7-1 r-gtable@0.3.6 r-gridextra@2.3 r-ggrepel@0.9.6 r-ggplot2@3.5.1 r-ggdendro@0.2.0 r-foreach@1.5.2 r-enrichr@3.2 r-doparallel@1.0.17 r-digest@0.6.37 r-dendextend@1.18.1 r-delayedarray@0.32.0 r-dbscan@1.2-0 r-data-table@1.16.2 r-complexheatmap@2.22.0 r-circlize@0.4.16
Channel: guix-bioc
Home page: https://bioconductor.org/packages/celda
Licenses: Expat
Synopsis: CEllular Latent Dirichlet Allocation
Description:
Celda is a suite of Bayesian hierarchical models for clustering single-cell RNA-sequencing (scRNA-seq
) data. It is able to perform "bi-clustering" and simultaneously cluster genes into gene modules and cells into cell subpopulations. It also contains DecontX
, a novel Bayesian method to computationally estimate and remove RNA contamination in individual cells without empty droplet information. A variety of scRNA-seq
data visualization functions is also included.
Total results: 1