Interactive and explorative visualization of SummarizedExperssionSet or ExpressionSet using omicsViewer


[Up] [Top]

Documentation for package ‘omicsViewer’ version 1.4.0

Help Pages

app_module Application level 0 module
app_ui Application level 0 UI
asEsetWithAttr Convert SummarizedExperiment to ExpressionSet retaining all attributes
correlationAnalysis Correlating a expression matrix with phenotypical variables
csc2list convert a column compressed sparse matrix to a list
downloadUPRefProteome get uniprot reference proteome IDs
draw_roc_pr Drawing ROC and PR curve
exprspca Perform PCA and prepare results for 'omicsViewer'
extendMetaData Add extra columns to the phenoData/colData or featureData/rowData in ExpressionSet/SummarizedExperiment
extendMetaData-method Add extra columns to the phenoData/colData or featureData/rowData in ExpressionSet/SummarizedExperiment
fgsea1 Wrapper of fgseaMultilevel function to take binary gene set matrix as input
fillNA Filling NAs in a matrix using constants calculated from user the defined function
filterRow Filter out rows of expression matrix
getAutoRIF Get genes associated with search terms and AutoRIF annotations
getMQParams Parse mqpar.xml file
getUPRefProteomeID get uniprot reference proteome IDs
gsAnnotIdList Annotation of gene/protein function using multiple IDs.
hasAttr Check whether an object has an attribute
hclust2str Convert hclust object to/from single character
list2csc convert a list to column compressed sparse matrix
multi.t.test Function to perform multiple t-tests on an expression matrix
nColors Generating k distinct colors
normalize.nQuantiles Normalization using n quantiles
normalize.totsum Normalize total sum
normalizeColWise Column-wise normalization of expression matrix
normalizeData Normalized expression matrix
omicsViewer Start omicsViewer
parseDatTerm Extract function annotation from uniprot .dat file
plotly_boxplot_module Shiny module for boxplot using plotly - Module
plotly_boxplot_ui Shiny module for boxplot using plotly - UI
plotly_scatter_module Shiny module for scatter plot using plotly - Module
plotly_scatter_ui Shiny module for scatter plot using plotly - UI
plot_roc_pr_module Shiny module for boxplot using plotly - Module
prepOmicsViewer Prepare object to be viewed by omicsViewer
read.proteinGroups Reading proteinGroup table of MaxQuant output
read.proteinGroups.lf Read protein groups output of maxquant output and split it to columns
readESVObj Read the object of SummarizedExperiment or ExpressetSet to be visualized using omicsViewer
read_gmt Reading gene set .gmt file
removeVarQC Removing variance of reference samples
rowshift Row-wise normalization of expression matrix with or without reference sample
saveOmicsViewerDb Save the xcmsViewer result object as sqlite database
saveOmicsViewerDb-method Save the xcmsViewer result object as sqlite database
str2hclust Convert hclust object to/from single character
triselector_module The three-step selector - the module function
triselector_ui The three-step selector - the ui function
trisetter Create a nx3 matrix that can be use for triselector given a meta and expression table
validMQFolder MQ folder validator Validate whether a folder is a MQ output folder
varSelector variable selector