cytoKernel
Differential expression using kernel-based score test
Bioconductor version: Release (3.19)
cytoKernel implements a kernel-based score test to identify differentially expressed features in high-dimensional biological experiments. This approach can be applied across many different high-dimensional biological data including gene expression data and dimensionally reduced cytometry-based marker expression data. In this R package, we implement functions that compute the feature-wise p values and their corresponding adjusted p values. Additionally, it also computes the feature-wise shrunk effect sizes and their corresponding shrunken effect size. Further, it calculates the percent of differentially expressed features and plots user-friendly heatmap of the top differentially expressed features on the rows and samples on the columns.
Author: Tusharkanti Ghosh [aut, cre], Victor Lui [aut], Pratyaydipta Rudra [aut], Souvik Seal [aut], Thao Vu [aut], Elena Hsieh [aut], Debashis Ghosh [aut, cph]
Maintainer: Tusharkanti Ghosh <tusharkantighosh30 at gmail.com>
citation("cytoKernel")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("cytoKernel")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("cytoKernel")
The CytoK user's guide | HTML | R Script |
Reference Manual | ||
NEWS | Text |
Details
biocViews | Clustering, DifferentialExpression, FlowCytometry, GeneExpression, ImmunoOncology, OneChannel, Proteomics, SingleCell, Software |
Version | 1.10.0 |
In Bioconductor since | BioC 3.14 (R-4.1) (3 years) |
License | GPL-3 |
Depends | R (>= 4.1) |
Imports | Rcpp, SummarizedExperiment, utils, methods, ComplexHeatmap, circlize, ashr, data.table, BiocParallel, dplyr, stats, magrittr, rlang, S4Vectors |
System Requirements | |
URL | |
Bug Reports | https://github.com/Ghoshlab/cytoKernel/issues |
See More
Suggests | knitr, rmarkdown, BiocStyle, testthat |
Linking To | Rcpp |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | cytoKernel_1.10.0.tar.gz |
Windows Binary | cytoKernel_1.10.0.zip |
macOS Binary (x86_64) | cytoKernel_1.10.0.tgz |
macOS Binary (arm64) | cytoKernel_1.10.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/cytoKernel |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/cytoKernel |
Bioc Package Browser | https://code.bioconductor.org/browse/cytoKernel/ |
Package Short Url | https://bioconductor.org/packages/cytoKernel/ |
Package Downloads Report | Download Stats |