- recipe bioconductor-chetah
Fast and accurate scRNA-seq cell type identification
- Homepage:
https://bioconductor.org/packages/3.18/bioc/html/CHETAH.html
- License:
file LICENSE
- Recipe:
CHETAH (CHaracterization of cEll Types Aided by Hierarchical classification) is an accurate, selective and fast scRNA-seq classifier. Classification is guided by a reference dataset, preferentially also a scRNA-seq dataset. By hierarchical clustering of the reference data, CHETAH creates a classification tree that enables a step-wise, top-to-bottom classification. Using a novel stopping rule, CHETAH classifies the input cells to the cell types of the references and to "intermediate types": more general classifications that ended in an intermediate node of the tree.
- package bioconductor-chetah¶
- versions:
1.18.0-0
,1.16.0-0
,1.14.0-0
,1.9.0-0
,1.8.0-0
,1.6.0-1
,1.6.0-0
,1.4.0-0
,1.2.0-0
,1.18.0-0
,1.16.0-0
,1.14.0-0
,1.9.0-0
,1.8.0-0
,1.6.0-1
,1.6.0-0
,1.4.0-0
,1.2.0-0
,1.0.4-0
- depends bioconductor-biodist:
>=1.74.0,<1.75.0
- depends bioconductor-s4vectors:
>=0.40.0,<0.41.0
- depends bioconductor-singlecellexperiment:
>=1.24.0,<1.25.0
- depends bioconductor-summarizedexperiment:
>=1.32.0,<1.33.0
- depends r-base:
>=4.3,<4.4.0a0
- depends r-corrplot:
- depends r-cowplot:
- depends r-dendextend:
- depends r-ggplot2:
- depends r-pheatmap:
- depends r-plotly:
- depends r-reshape2:
- depends r-shiny:
- requirements:
Installation
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install bioconductor-chetah and update with:: mamba update bioconductor-chetah
To create a new environment, run:
mamba create --name myenvname bioconductor-chetah
with
myenvname
being a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, use the docker container:
docker pull quay.io/biocontainers/bioconductor-chetah:<tag> (see `bioconductor-chetah/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-chetah/README.html)