MetaIntegrator2.1.3 package

Backward Search Function

Calculates the statistical power of a random effects meta-analysis

Calculate ROC Curve Statistics

Calculate a signature Z-score for a set of genes in a single dataset

Check for errors in objects used for analysis

Helper function to build the class vector

Automatic preprocessing of $pheno dataframe

A wrapper function to run COCONUT on the MetaIntegrator objects.

Filter out significant genes from meta-analysis results

Compare effect sizes of a gene across all datasets in meta-analysis

Forward Search Function

Correct/update gene symbols in a metaObject

GEO download/processing through GEOquery

Get name of most recent filter

Extract gene-level data from a given data object

Compare effect sizes of a gene across all datasets in meta-analysis

Generates a heatmap with effect sizes for all genes which pass a filte...

immunoStates deconvolution analysis on MetaIntegrator object(s)

Correct gene expression using cell proportions from immunoStates

immunoStates deconvolution analysis on MetaIntegrator object(s)

Imputes biological sex of each sample in a Dataset object

Run Shane's LINCS bait-based correlation on MetaIntegrator

Run Shane's LINCS Correlate on MetaIntegrator

Run Shane's LINCS Tools on MetaIntegrator

Generates a Manhattan plot with effect size FDR as y-axis

MetaIntegrator package for meta-analysis of gene expression data

Generate a plot with multiple PRC curves

Generate a plot with multiple ROC curves

Generate a plot with a pooled ROC curve

Plot the PRC Curve for a Dataset

Plot positive and negative predictive values across different prevalen...

Generate a plot which draws a regression line between the Meta Score a...

Plot ROC Curve for a Dataset

Run the meta-analysis algorithm

Subset samples for a particular dataset

Summarize the filtered analysis results

Calculate the summaryROC statistics

Generate a plot with a summary ROC curve

Compare groups within a single dataset in a violin plot