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

doi:10.4251/wjgo.v17.i4.103679

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World Journal of Gastrointestinal Oncology

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1948-5204

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

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

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Figure 2 Expression of miRNAs in the three groups. A: miR-204-3p; B: miR-452-5p; C: miR-5010-5p; D: miR-27b-5p; E: miR-5189-5p; F: miR-552-5p; G: miR-199b-5p; H: miR-132-5p; I: miR-885-5p; J: miR-3176; K: miR-203a-3p; L: miR-223-3p; M: miR-219a-2-3p; N: miR-106b-5p; O: miR-1271-5p. ^aP < 0.05. ^bP < 0.01. CON: A group including 107 control samples; EGC: A group including 71 early gastric cancer samples; AGC: A group including 97 advanced gastric cancer samples.

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