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cff-version: 1.2.0
message: 'To cite package "cytoKernel" in publications use:'
type: software
license: GPL-3.0-only
title: 'cytoKernel: Differential expression using kernel-based score test'
version: 1.11.0
abstract: 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.
authors:
- family-names: Ghosh
  given-names: Tusharkanti
  email: tusharkantighosh30@gmail.com
- family-names: Lui
  given-names: Victor
- family-names: Rudra
  given-names: Pratyaydipta
- family-names: Seal
  given-names: Souvik
- family-names: Vu
  given-names: Thao
- family-names: Hsieh
  given-names: Elena
- family-names: Ghosh
  given-names: Debashis
repository: https://bioc.r-universe.dev
repository-code: https://github.com/Ghoshlab/cytoKernel
url: https://github.com/Ghoshlab/cytoKernel
date-released: '2021-09-27'
contact:
- family-names: Ghosh
  given-names: Tusharkanti
  email: tusharkantighosh30@gmail.com