Back to search

Article

Therapeutic Target Identification in Pancreatic Ductal Adenocarcinoma: A Comprehensive In-Silico Study employing WGCNA and Trader

2023-03-01

Abstract excerpt

Pancreatic ductal adenocarcinoma (PDAC) is recognized as a highly aggressive fatal disease accounting for more than 90% of all pancreatic malignancies. Considering the limited effective treatment options and its low survival rate, studying PDAC's underlying mechanisms is of utmost importance. The present study focused on investigating PDAC expression data using WGCNA and Trader algorithms to shed light on the unde...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
e785b9d6-053e-5c54-9ab3-72e1d63ee25d
DOI
10.21203/rs.3.rs-2627227/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Therapeutic Target Identification in Pancreatic Ductal Adenocarcinoma: A Comprehensive In-Silico Study employing WGCNA and TraderDOI 10.21203/rs.3.rs-2627227/v1
Select a neighboring publication to make it the new centre.