MTClass: Identification and annotation of multi-phenotype cis-eQTLs using machine learning

This dataset contains the aggregated results from three iterations of MTClass. Brief descriptions of the file names are below:

• multi-tissue.zip: Multi-tissue study containing the 9-tissue, 13 brain tissue, and 48-tissue results from MTClass, MultiPhen, and MANOVA
• multi-exon.zip: Multi-exon study containing the multi-exon results from the 13 individual brain tissues (MTClass, MultiPhen, and MANOVA for each tissue)
• 2D_exon_tissue.zip: Multi-tissue/multi-exon combined eQTL study, done in 9 tissues using multi-layer perceptron. MTClass was only run once on this dataset due to the relatively higher computational burden.
• PsychENCODE_isoQTL.zip: Multi-isoform eQTL study, done in human prefrontal cortex using PsychENCODE data.
• OneK1K_scRNAseq.zip: Multi-cell-type eQTL study, done using scRNA-seq data from the OneK1K cohort.