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Title:
Bioconductor - distinct
Description:
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.
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Keywords {🔍}
bioconductor, distinct, package, differential, packages, version, analyses, release, data, source, method, hierarchical, permutation, tests, tiberi, enter, install, reports, binary, learn, developers, started, software, perform, testing, groups, distributions, nonparametric, distribution, cdfs, methods, conditions, applied, single, cell, sequencing, samples, simone, httpsdoiorgaoas, installation, start, documentation, system, details, bioc, stats, url, macos, distincttgz, repository,
Topics {✒️}
org/packages/distinct source repository /simonetiberi/distinct bug reports joint galaxy/bioconductor conference bioconductor release tgz source repository source package release //code bioconductor support site hierarchical permutation tests parametric permutation tests cumulative distribution functions high-dimensional flow script reference manual /simonetiberi/distinct/issues package installed perform differential testing differential patterns involving gz windows binary single cell data differential distribution analyses tgz macos binary comparing full cdfs bi-modal distributions simone tiberi [aut details biocviews scater system requirements git clone https package packages started install differential analyses differential testing macos binary bioconductor //bioconductor parametric nature registration open subtle variations flexible tool scrna-seq mass cytometry biological replicates crowell hl weber lm robinson md quietly = true older versions pdf news developer access
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