Datasets used for Multi-omics integration using Deep Learning and other state-of-the-art regression models

Name: Datasets used for Multi-omics integration using Deep Learning and other state-of-the-art regression models
Creator: Novo Nordisk Research Center, Seattle, Inc; A. K. Choudhury School of Information Technology, University of Calcutta; Machine Intelligence Unit, Indian Statistical Institute
Published: 2020-03-17T00:00:00+08:00

Zenodo2020-03-17 更新2026-04-07 收录

多组学整合

肝癌基因组

数据链接：

https://zenodo.org/record/3712495 数据链接链接失效反馈

官方服务：

资源简介：

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"

提供机构：

Novo Nordisk Research Center, Seattle, Inc; A. K. Choudhury School of Information Technology, University of Calcutta; Machine Intelligence Unit, Indian Statistical Institute

创建时间：

2020-03-17