Package: ZetaSuite 1.0.1
ZetaSuite: Analyze High-Dimensional High-Throughput Dataset and Quality Control Single-Cell RNA-Seq
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', 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:
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ZetaSuite.pdf |ZetaSuite.html✨
ZetaSuite/json (API)
# Install 'ZetaSuite' in R: |
install.packages('ZetaSuite', repos = c('https://junhuili1017.r-universe.dev', 'https://cloud.r-project.org')) |
- SVMcurve - The SVM curve lines in Zeta-plot.
- ZseqList - The bin size for Zeta calculation.
- countMat - Subsampled data from in-house HTS2 screening for global splicing regulators.
- countMatSC - The cell x gene matrix from single-cell RNA-seq.
- negGene - Input negative file.
- nonExpGene - Input internal negative control file.
- posGene - Input positive file.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:4997735d8a. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 16 2024 |
R-4.5-win | NOTE | Oct 16 2024 |
R-4.5-linux | NOTE | Oct 16 2024 |
R-4.4-win | NOTE | Oct 16 2024 |
R-4.4-mac | NOTE | Oct 16 2024 |
R-4.3-win | NOTE | Oct 16 2024 |
R-4.3-mac | NOTE | Oct 16 2024 |
Exports:EventCoverageFDRcutoffQCSVMZetaZetaSuitSCZscore
Dependencies:askpassbase64encbslibcachemclassclicolorspacecpp11crosstalkcurldata.tabledigestdplyre1071evaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegridExtragtablehighrhtmltoolshtmlwidgetshttrisobandjquerylibjsonlitekernlabknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmemoisemgcvmimemixtoolsmunsellnlmeopensslpillarpkgconfigplotlyplyrpromisesproxypurrrR6rappdirsRColorBrewerRcppreshape2rlangrmarkdownRtsnesassscalessegmentedstringistringrsurvivalsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml