looking4clusters
This is the development version of looking4clusters; for the stable release version, see looking4clusters.
All Bioconductor versions of looking4clusters
3.24 (devel), 3.23 (release), 3.22
Interactive Visualization of scRNA-Seq
Bioconductor version: 3.24 · Package version: 1.3.0
Enables the interactive visualization of dimensional reduction, clustering, and cell properties for scRNA-Seq results. It generates an interactive HTML page using either a numeric matrix, SummarizedExperiment, SingleCellExperiment or Seurat objects as input. The input data can be projected into two-dimensional representations by applying dimensionality reduction methods such as PCA, MDS, t-SNE, UMAP, and NMF. Displaying multiple dimensionality reduction results within the same interface, with interconnected graphs, provides different perspectives that facilitate accurate cell classification. The package also integrates unsupervised clustering techniques, whose results that can be viewed interactively in the graphical interface. In addition to visualization, this interface allows manual selection of groups, labeling of cell entities based on processed meta-information, generation of new graphs displaying gene expression values for each cell, sample identification, and visual comparison of samples and clusters.
Author: David Barrios [aut, cre] 
, Angela Villaverde [aut] , Carlos Prieto [aut]
Maintainer: David Barrios <metal at usal.es>
Citation
From within R, enter citation("looking4clusters"):
David Barrios, Angela Villaverde, Carlos Prieto. looking4clusters: Interactive Visualization of scRNA-Seq. doi:10.18129/B9.bioc.looking4clusters, R package version 1.3.0, https://bioconductor.org/packages/looking4clusters.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")
BiocManager::install("looking4clusters")For older versions of R, please refer to the appropriate Bioconductor release.
Details
| Version | 1.3.0 |
| License | GPL-2 | GPL-3 |
| URL | https://github.com/BioinfoUSAL/looking4clusters/ |
| Bug Reports | https://github.com/BioinfoUSAL/looking4clusters/issues/ |
| Last updated | 2026-04-28 |
| In Bioconductor since | BioC 3.22 (R-4.5) (less than a year) |
| Downloads rank | 2228 of 2,456 |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | Classification, Clustering, DataRepresentation, GeneExpression, MultipleComparison, Software, Visualization |
| Package Short Url | https://bioconductor.org/packages/looking4clusters/ |
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("looking4clusters")| Interactive visualization of dimensional reduction, clustering and cell propoerties for scRNA-Seq data analysis | HTML | R Script |
| Reference Manual |
Download
Follow the installation instructions to use this package in your R session.
| Source package | looking4clusters_1.3.0.tar.gz |
| Windows binary (x86_64) | looking4clusters_1.3.0.zip |
| macOS binary (arm64) | looking4clusters_1.3.0.tgz |
| macOS binary (x86_64) | looking4clusters_1.3.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/looking4clusters |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/looking4clusters |
| Package Downloads Report | Download Stats |
Dependencies
Depends: R (>= 4.5.0)
Imports: stats, utils, SummarizedExperiment, SingleCellExperiment, BiocBaseUtils, jsonlite
Suggests: knitr, rmarkdown, Seurat, parallelDist, uwot, NMF, fpc, dendextend, cluster, Rtsne, scRNAseq, Matrix