Analyze High-Dimensional High-Throughput Dataset and Quality Control Single-Cell RNA-Seq

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Documentation for package ‘ZetaSuite’ version 1.0.2

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

countMat	Subsampled data from in-house HTS2 screening for global splicing regulators.
countMatSC	The cell x gene matrix from single-cell RNA-seq.
EventCoverage	Generate event coverage analysis and visualization for alternative splicing data.
FDRcutoff	Determine optimal cutoff thresholds based on Screen Strength analysis.
negGene	Input negative file.
nonExpGene	Input internal negative control file.
posGene	Input positive file.
QC	Perform quality control analysis for high-throughput screening data.
SVM	Generate SVM decision boundaries for positive and negative control separation.
SVMcurve	The SVM curve lines in Zeta-plot.
Zeta	Calculation of zeta and weighted zeta score.
ZetaSuiteApp	Launch ZetaSuite Shiny Application
ZetaSuitSC	Calculate zeta score for single cell RNA-seq quality control.
Zscore	Z-score normalization for high-throughput screening data.
ZseqList	The bin size for Zeta calculation.