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Construction and validation of gastric cancer diagnosis model based on machine learning

Aim: To screen differentially expressed genes related to gastric cancer based on The Cancer Genome Atlas (TCGA) database and construct a gastric cancer diagnosis model by machine learning. Methods: Transcriptional data, genomic data, and clinical information of gastric cancer tissues and non-gastric...

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Bibliographic Details
Main Authors:	Fei Kong (Author), Ziqin Yan (Author), Ning Lan (Author), Pinxiu Wang (Author), Shanlin Fan (Author), Wenzhen Yuan (Author)
Format:	Book
Published:	Open Exploration Publishing Inc., 2022-06-01T00:00:00Z.
Subjects:	article
Online Access:	Connect to this object online.
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