Network-Based and Machine-Learning Approaches Identify Diagnostic and Prognostic Models for EMT-Type Gastric Tumors

Network-Based and Machine-Learning Approaches Identify Diagnostic and Prognostic Models for EMT-Type Gastric Tumors

The microsatellite stable/epithelial-mesenchymal transition (MSS/EMT) subtype of gastric cancer represents a highly aggressive class of tumors associated with low rates of survival and considerably high probabilities of recurrence. In the era of precision medicine, the accurate and prompt diagnosis...

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Bibliographic Details
Main Authors: Mehdi Sadeghi, Mohammad Reza Karimi, Amir Hossein Karimi, Nafiseh Ghorbanpour Farshbaf, Abolfazl Barzegar, Ulf Schmitz
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Genes
Subjects:
gastric cancer
epithelial-mesenchymal transition
EMT subtype
precision medicine
WGCNA
machine learning
Online Access:https://www.mdpi.com/2073-4425/14/3/750

Internet

https://www.mdpi.com/2073-4425/14/3/750

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