Other packages > Find by keyword >

ZetaSuite  

Analyze High-Dimensional High-Throughput Dataset and Quality Control Single-Cell RNA-Seq
View on CRAN: Click here


Download and install ZetaSuite package within the R console
Install from CRAN:
install.packages("ZetaSuite")

Install from Github:
library("remotes")
install_github("cran/ZetaSuite")

Install by package version:
library("remotes")
install_version("ZetaSuite", "1.0.2")



Attach the package and use:
library("ZetaSuite")
Maintained by
Junhui Li
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-03-31
Latest Update: 2022-05-24
Description:
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) <doi:10.1016/j.cell.2017.07.005> and Tsherniak A (2017) <doi: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) <doi:10.1038/s41586-018-0698-6>). In 'ZetaSuite', wehave the following steps: QC of input datasets, normalization using Z-transformation, Zeta score calculation and hits selection based on defined Screen Strength.
How to cite:
Junhui Li (2022). ZetaSuite: Analyze High-Dimensional High-Throughput Dataset and Quality Control Single-Cell RNA-Seq. R package version 1.0.2, https://cran.r-project.org/web/packages/ZetaSuite. Accessed 05 Jun. 2026.
Previous versions and publish date:
1.0.0 (2022-03-31 09:30), 1.0.1 (2022-05-24 21:40), 1.0.2 (2025-09-24 23:00)
Other packages that cited ZetaSuite R package
View ZetaSuite citation profile
Other R packages that ZetaSuite depends, imports, suggests or enhances
Complete documentation for ZetaSuite
Functions, R codes and Examples using the ZetaSuite R package
Some associated functions: EventCoverage . FDRcutoff . QC . SVM . SVMcurve . Zeta . ZetaSuitSC . Zscore . ZseqList . countMat . countMatSC . negGene . nonExpGene . posGene . 
Some associated R codes: EventCoverage.R . FDRcutoff.R . QC.R . SVM.R . Zeta.R . ZetaSuitSC.R . Zscore.R .  Full ZetaSuite package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
crossurr  
Cross-Fitting for Doubly Robust Evaluation of High-Dimensional Surrogate Markers
Doubly robust methods for evaluating surrogate markers as outlined in: Agniel D, Hejblum BP, Thiebau ...
Download / Learn more Package Citations See dependency  
envirem  
Generation of ENVIREM Variables
Generation of bioclimatic rasters that are complementary to the typical 19 bioclim variables. ...
Download / Learn more Package Citations See dependency  
ibb  
R Wrapper for Istanbul Municipality Open Data Portal
Call wrappers for Istanbul Metropolitan Municipality's Open Data Portal (Turkish: Istanbul B ...
Download / Learn more Package Citations See dependency  
msm  
Multi-State Markov and Hidden Markov Models in Continuous Time
Functions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal d ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA