recipe bioconductor-distinct

distinct: a method for differential analyses via hierarchical permutation tests

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/distinct.html

License:

GPL (>= 3)

Recipe:

/bioconductor-distinct/meta.yaml

distinct is a statistical method to perform differential testing between two or more groups of distributions; differential testing is performed via hierarchical non-parametric permutation tests on the cumulative distribution functions (cdfs) of each sample. While most methods for differential expression target differences in the mean abundance between conditions, distinct, by comparing full cdfs, identifies, both, differential patterns involving changes in the mean, as well as more subtle variations that do not involve the mean (e.g., unimodal vs. bi-modal distributions with the same mean). distinct is a general and flexible tool: due to its fully non-parametric nature, which makes no assumptions on how the data was generated, it can be applied to a variety of datasets. It is particularly suitable to perform differential state analyses on single cell data (i.e., differential analyses within sub-populations of cells), such as single cell RNA sequencing (scRNA-seq) and high-dimensional flow or mass cytometry (HDCyto) data. To use distinct one needs data from two or more groups of samples (i.e., experimental conditions), with at least 2 samples (i.e., biological replicates) per group.

package bioconductor-distinct

versions:

1.18.0-0,  1.12.2-0,  1.10.0-1,  1.10.0-0,  1.6.0-2,  1.6.0-1,  1.6.0-0,  1.4.0-0,  1.2.0-1, 

1.18.0-0,  1.12.2-0,  1.10.0-1,  1.10.0-0,  1.6.0-2,  1.6.0-1,  1.6.0-0,  1.4.0-0,  1.2.0-1,  1.2.0-0,  1.0.0-0

depends bioconductor-limma:

>=3.62.0,<3.63.0

depends bioconductor-limma:

>=3.62.0,<3.63.0a0

depends bioconductor-scater:

>=1.34.0,<1.35.0

depends bioconductor-scater:

>=1.34.0,<1.35.0a0

depends bioconductor-singlecellexperiment:

>=1.28.0,<1.29.0

depends bioconductor-singlecellexperiment:

>=1.28.0,<1.29.0a0

depends bioconductor-summarizedexperiment:

>=1.36.0,<1.37.0

depends bioconductor-summarizedexperiment:

>=1.36.0,<1.37.0a0

depends libblas:

>=3.9.0,<4.0a0

depends libcxx:

>=18

depends liblapack:

>=3.9.0,<4.0a0

depends r-base:

>=4.4,<4.5.0a0

depends r-doparallel:

depends r-dorng:

depends r-foreach:

depends r-ggplot2:

depends r-matrix:

depends r-rcpp:

depends r-rcpparmadillo:

requirements:

additional platforms:

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-distinct

and update with::

   mamba update bioconductor-distinct

To create a new environment, run:

mamba create --name myenvname bioconductor-distinct

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-distinct:<tag>

(see `bioconductor-distinct/tags`_ for valid values for ``<tag>``)

Download stats

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