MTClass: Identification and annotation of multi-phenotype cis-eQTLs using machine learning (Q6708332)
From MaRDI portal
 | This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: MTClass: Identification and annotation of multi-phenotype cis-eQTLs using machine learning |
Dataset published at Zenodo repository.
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | MTClass: Identification and annotation of multi-phenotype cis-eQTLs using machine learning |
Dataset published at Zenodo repository. |
Statements
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.
0 references
11 October 2024
0 references
2.0
0 references
