Blood-based machine learning classifiers for early diagnosis of gastric cancer via multiple miRNAs

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 17, Issue 4

This Article

Academic Content and Language Evaluation of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Supplementary Materials of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Number of Hits and Downloads for This Article

All Articles published online

Item

Count

PDF

HTML

Figures (1-4)

Tables (1-2)

Sum=114

Publishing Process of This Article

Item

Count

Browse

Download

Sum=18

Apr 15, 2025 (publication date) through Mar 28, 2025

Times Cited of This Article

Journal Information of This Article

Publication Name

World Journal of Gastrointestinal Oncology

ISSN

1948-5204

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Basic Study

World J Gastrointest Oncol. Apr 15, 2025; 17(4): 103679
Published online Apr 15, 2025. doi: 10.4251/wjgo.v17.i4.103679

Full Size Figure Download Figure

Figure 1 Workflow of the entire study. GC: Gastric cancer.

Citation: Ma FC, Zhang GL, Chi BT, Tang YL, Peng W, Liu AQ, Chen G, Gao JB, Wei DM, Ge LY. Blood-based machine learning classifiers for early diagnosis of gastric cancer via multiple miRNAs. World J Gastrointest Oncol 2025; 17(4): 103679
URL: https://www.wjgnet.com/1948-5204/full/v17/i4/103679.htm
DOI: https://dx.doi.org/10.4251/wjgo.v17.i4.103679