# Meta-Analysis of Gene Expression Data

## Documentation for package ‘MetaIntegrator’ version 1.0.3

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

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