MetaIntegrator R Package
Frequentist framework for multicohort analysis of transcriptome data.
COCONUT R Package
Enables pooled analysis of microarray data by batch-correcting control samples.
MetaSignature Database
Multicohort transcriptome anlaysis of >100 diseases to identify consistent gene expression signatures in a specific disease and explore how a set of genes change in other diseases and cell types.
immunoStates
A 317-gene basis matrix, integrated with MetaIntegrator, for estimating percentages of 20 immune cell types using transcriptome data in a whole blood or PBMC sample. (More information)
bayesMetaIntegrator R Package
Multi-cohort analysis framework based on Bayesian Meta-Analysis
MANATEE
Multicohort ANalysis of AggregaTed gEne Expression(MANATEE) uses COCONUT co-normalization to enable multi-cohort analysis.
MIDAS
Model-independent Inference of Directed AssociationS (MIDAS) is a Neural Processes-based framework to enable inference of direction of association.