Multi-omics data integration study nominates key causal lncRNAs for high-grade serous ovarian cancer

cis406ed95c9eacb8 is the file of summary data for eQTL analysis lnccis60897331875a83 is the file of summary data for lncQTL analysis

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-13
DOI
https://doi.org/10.5281/zenodo.13760102
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
0.00
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article

Multi-omics data integration study nominates key causal lncRNAs for high-grade serous ovarian cancer

Zenodo (CERN European Organization for Nuclear Research)
Cancer-related molecular mechanisms research
article

Multi-omics data integration study nominates key causal lncRNAs for high-grade serous ovarian cancer

article en

Abstract

cis406ed95c9eacb8 is the file of summary data for eQTL analysis lnccis60897331875a83 is the file of summary data for lncQTL analysis

Zenodo (CERN European Organization for Nuclear Research)
Zero hunger
Openalex Percentile: Top 50%
Cancer-related molecular mechanisms research
DOIOpen Access PDFOpenAlex
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Multi-omics data integration study nominates key causal lncRNAs for high-grade serous ovarian cancer · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS