variancePartition: Quantifying and interpreting drivers of variation in multilevel gene expression experiments

Gene expression datasets are complicated and have multiple sources of biological and technical variation. These datasets have recently become more complex as it is now feasible to assay gene expression from the same individual in multiple tissues or at multiple time points. The variancePartition package implements a statistical method to quantify the contribution of multiple sources of variation and decouple within/between-individual variation. In addition, variancePartition produces results at the gene-level to identity genes that follow or deviate from the genome-wide trend. variancePartition version: 1.4.1