Published March 17, 2020
| Version v1
Dataset
Open
Datasets used for Multi-omics integration using Deep Learning and other state-of-the-art regression models
- 1. A. K. Choudhury School of Information Technology, University of Calcutta
- 2. Novo Nordisk Research Center, Seattle, Inc
- 3. Machine Intelligence Unit, Indian Statistical Institute
Description
This repository link contains the LIHC files that were downloaded using TCGA Assembler 2 and used in the publication for benchmarking DL and other state-of-the-art regression models.
The contents are as follows.
Gene level CNA , filename= "LIHC__genome_wide_snp_6__GeneLevelCNA.txt"
DNA Methylation data around 1500 bp around TSS (450K) , filename= "LIHC_Methylation450__SingleValue__TSS1500__Both.txt"
RNASeq data, filename= "LIHC_RNASeq__illuminahiseq_rnaseqv2__GeneExp.txt"