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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "ZetaSuite" in publications use:'
type: software
license:
- GPL-2.0-only
- GPL-3.0-only
title: 'ZetaSuite: Analyze High-Dimensional High-Throughput Dataset and Quality Control
  Single-Cell RNA-Seq'
version: 1.0.1
doi: 10.32614/CRAN.package.ZetaSuite
abstract: 'The advent of genomic technologies has enabled the generation of two-dimensional
  or even multi-dimensional high-throughput data, e.g., monitoring multiple changes
  in gene expression in genome-wide siRNA screens across many different cell types
  (E Robert McDonald 3rd (2017) <https://doi.org/ 10.1016/j.cell.2017.07.005> and
  Tsherniak A (2017) <https://doi.org/ 10.1016/j.cell.2017.06.010>) or single cell
  transcriptomics under different experimental conditions. We found that simple computational
  methods based on a single statistical criterion is no longer adequate for analyzing
  such multi-dimensional data. We herein introduce ''ZetaSuite'', a statistical package
  initially designed to score hits from two-dimensional RNAi screens.We also illustrate
  a unique utility of ''ZetaSuite'' in analyzing single cell transcriptomics to differentiate
  rare cells from damaged ones (Vento-Tormo R (2018) <https://doi.org/ 10.1038/s41586-018-0698-6>).
  In ''ZetaSuite'', we have the following steps: QC of input datasets, normalization
  using Z-transformation, Zeta score calculation and hits selection based on defined
  Screen Strength.'
authors:
- family-names: Hao
  given-names: Yajing
  email: yahao@health.ucsd.edu
  orcid: https://orcid.org/0000-0003-1384-4176
- family-names: Li
  given-names: Junhui
  email: ljh.biostat@gmail.com
repository: https://junhuili1017.r-universe.dev
commit: 4997735d8aef9c69b8848f6fe1ab57e458db775c
date-released: '2022-05-22'
contact:
- family-names: Li
  given-names: Junhui
  email: ljh.biostat@gmail.com