Clustering on Network of Samples R package conos version 1.5.4 CRAN Task View: Omics (https://CRAN.R-project.org/view=Omics) Wires together large collections of single-cell RNA-seq datasets, which allows for both the identification of recurrent cell clusters and the propagation of information between datasets in multi-sample or atlas-scale collections. 'Conos' focuses on the uniform mapping of homologous cell types across heterogeneous sample collections. For instance, users could investigate a collection of dozens of peripheral blood samples from cancer patients combined with dozens of controls, which perhaps includes samples of a related tissue such as lymph nodes. This package interacts with data available through the 'conosPanel' package, which is available in a 'drat' repository. To access this data package, see the instructions at <https://github.com/kharchenkolab/conos>. The size of the 'conosPanel' package is approximately 12 MB. Software Depends: R (>= 3.5.0), Matrix, igraph Imports: abind, cowplot, ComplexHeatmap, dendextend, dplyr, ggplot2, ggrepel, gridExtra, irlba, leidenAlg, magrittr, methods, N2R, pagoda2, parallel, R6, reshape2, rlang, Rtsne, sccore (>= 1.0.0), stats, tools, utils LinkingTo: Rcpp, RcppArmadillo, RcppEigen, RcppProgress Suggests: AnnotationDbi, BiocParallel, conosPanel, drat, DESeq2, entropy, ggrastr, GO.db, jsonlite, knitr, org.Hs.eg.db, org.Mm.eg.db, p2data, PMA, plyr, rhdf5, rmarkdown, rmumps, Seurat, shinycssloaders, SummarizedExperiment, testthat, tibble, uwot, zoo Evan Biederstedt <evan.biederstedt@gmail.com> Comprehensive R Archive Network (CRAN) Viktor Petukhov [aut], Nikolas Barkas [aut], Peter Kharchenko [aut], Weiliang Qiu [ctb], Evan Biederstedt [aut, cre] GPL-3 2026-04-25 application/tgz https://CRAN.R-project.org/package=conos doi:10.32614/CRAN.package.conos