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Dataset Information

Novel insight into pancreatic adenocarcinoma pathogenesis using liquid association analysis.


ABSTRACT:

Background

Pancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy associated with a poor prognosis. High-throughput disease-related-gene expression data provide valuable information on gene interaction, which consequently lead to deeper insight about pathogenesis. The co-expression analysis is a common approach that is used to investigate gene interaction. However, such an approach solely is inadequate to reveal the complexity of the gene interaction. The three-way interaction model is known as a novel approach applied to decode the complex relationship between genes.

Methods

In the current study, the liquid association method was used to capture the statistically significant triplets involved in the PDAC pathogenesis. Subsequently, gene set enrichment and gene regul

SUBMITTER: Shokati Eshkiki Z 

PROVIDER: S-EPMC8855560 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature