Meta-Analysis of Gene Expression Data

Documentation for package ‘MetaIntegrator’ version 1.0.3

backwardSearch	Backward Search Function
calculateROC	Calculate ROC Curve Statistics
calculateScore	Calculate a signature Z-score for a set of genes in a single dataset
checkDataObject	Check for errors in objects used for analysis
ens_ensgID_table	ENSEMBL gene id table cache
ens_entrez_table	ENSEMBL entrez table cache
filterGenes	Filter out significant genes from meta-analysis results
forestPlot	Compare effect sizes of a gene across all datasets in meta-analysis
forwardSearch	Forward Search Function
getGEOData	GEO download/processing through GEOquery
getMostRecentFilter	Get name of most recent filter
getSampleLevelGeneData	Extract gene-level data from a given data object
heatmapPlot	Generates a heatmap with effect sizes for all genes which pass a filter in all measured diseases
MetaIntegrator	MetaIntegrator package for meta-analysis of gene expression data
regressionPlot	Generate a plot which draws a regrssion line between the Meta Score and a continuous variable phenotype.
rocPlot	Plot ROC Curve for a Dataset
runMetaAnalysis	Run the meta-analysis algorithm
summarizeFilterResults	Summarize the filtered analysis results
tinyMetaObject	A Tiny MetaObject
ucsc_genbank_table	UCSC genbank table cache
ucsc_refseq_table	UCSC refseq table cache
violinPlot	Compare groups within a single dataset in a violin plot