runRSEAnalysis: Launch Shiny App For Package rseAnalysis

In JackXu2333/rseAnalysis: Correlation analysis of RNA secondary structure mutation and differential expression

Description

A function that launches the shiny app for this package. Analysis.DISEXP is a complete analysis based on user selection of linear or log regression. The gene expression is calculated as the absolute differences between sampled and normal gene expression data. Analysis also export sets of graphs to facilitate in model selection and analysis result validation. Inputs:

Usage

runRSEAnalysis()

Details

FILE NormalRNAStructureFile .csv file with two column, RNA name and orginal structure in dot/bracket FILE MutatedRNAStructureFile .csv file with two column, RNA name and mutated structure in dot/bracket FILE geneExpressonFile .csv file with at least three column, $Read.Type indicates whether it is "reads_per_million_miRNA_mapped" or "read_count", $Sample and $Normal stores the differential gene expression information. SELCETOR ModelMethod Selection of linear or gaussian log link function for regression (linear or log) SELECTOR PredictionMethod Selection of gscVistualizer or RNADistance to predict secondary structure of RNA CHECKBOX Run example to run shiny app under example files

Value

No return value but open up a shiny page.

Author(s)

Sijie Xu, [e-mail]

Examples

## Not run: 
runRSEAnalysis()

## End(Not run)

JackXu2333/rseAnalysis documentation built on Dec. 31, 2020, 1:10 p.m.