Back to search

Article

Machine Learning-Driven Discovery of Biomarkers in Gastric Cancer: A Focus on DPT, FBP2, ADH7, INHBA, and GPR155

2025-10-08

Abstract excerpt

<title>Abstract</title> <p>Gastric cancer still is a severe threat to human health, often presenting with a poor prognosis, effective biomarkers for early detection and targeted treatment are urgently needed. This study performed a comprehensive bioinformatics and machine learning approach to identify key protein biomarkers for gastric cancer and elucidate their potential functions. Gastric cancer-related dataset...

Topics

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

Identifiers and source

Literature Corpus work
8c680196-1f0b-5194-a755-ec23a961ddf4
DOI
10.21203/rs.3.rs-7523494/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.
Machine Learning-Driven Discovery of Biomarkers in Gastric Cancer: A Focus on DPT, FBP2, ADH7, INHBA, and GPR155DOI 10.21203/rs.3.rs-7523494/v1
Select a neighboring publication to make it the new centre.