Skip navigation
Search
Sciety application settings
Home
Groups
Explore
Newsletter
About
Log In
Sign Up
Exploring the potential of machine learning in gastric cancer: prognostic biomarkers, subtyping, and stratification
Haniyeh Rafiepoor
Mohammad M. Banoei
Alireza Ghorbankhanloo
Ahad Muhammadnejad
Amirhossein Razavirad
Saeed Soleymanjahi
Saeid Amanpour
Read the full article
See related articles
Listed in
This article is not in any list yet, why not save it to one of your lists.
Log in to save this article
Abstract
No abstract available
Article activity feed
Version published to 10.1186/s12885-025-14204-x
Apr 30, 2025
Version published to 10.21203/rs.3.rs-5731247/v1 on Research Square
Apr 4, 2025
Related articles
Development and validation of a nomogram model of lung metastasis in breast cancer based on machine learning algorithm and cytokines
This article has 4 authors:
Zhaoyi Li
Hao Miao
Wei Bao
Lansheng Zhang
Ovarian cancer recurrence prediction: comparing confirmatory to real world predictors with machine learning
This article has 8 authors:
D. Katsimpokis
A.E.C. van Odenhoven
M.A.J.M. van Erp
H.H.B. Wenzel
M.A. van der Aa
M.M.H. van Swieten
H.P.M. Smedts
J.M.J. Piek
Exploration of biomarkers for predicting the prognosis of patients with diffuse large B-cell lymphoma by machine-learning analysis
This article has 8 authors:
Shifen Wang
Hong Tao
Xingyun Zhao
Siwen Wu
Chunwei Yang
Yuanfei Shi
Zhenshu Xu
Dawei Cui
Site navigation links
Home
Groups
Explore
Newsletter
About
Log In
Sign Up