5 天前 - … Machine learning and gene set enrichment analysis (GSEA) methods were applied
to discover biomarkers and … as a potential biomarker for different types of cancers, such as …

41 天前 - … for potential biomarkers. Meanwhile, multi-omics data formats and storage methods
are … The practical, integrative analyses of multi-platform datasets via machine learning …

45 天前 - … feature genes via three machine learning methods: … we identified ITGB2 as a
potential immune-related biomarker for STAD by integrating multiomics data and machine learning…

53 天前 - … the gastric cancer dataset, and machine learning methods. … , we use a causality
measure to select biomarkers paired … on a gastric cancer dataset for disease detection purposes…

61 天前 - … By using machine learning, we successfully identified a … that the CCCP may serve
as a potential biomarker in GC. … utilized SVM as a machine learning approach from the “e1071…

88 天前 - … , the prevailing diagnostic methods impede precisely large-… and coupled with multiple
machine learning algorithms; the … been revealed by the potential biomarkers for CRC and …

94 天前 - … that were ready for machine learning were selected, and … new approaches to
diagnosing and treating gastric cancer … to identify essential genes associated with gastric cancer …

95 天前 - … machine-learning techniques, we systematically evaluated potential biomarkers that
… immunotherapy resistance in gastric cancer based on a machine learning approach, which …

108 天前 - … Methods: The sarcopenia score assessment involves automated selection of the
L3 vertebra level slice from abdominal or chest, abdomen, and pelvis (CAP) CT scans, …

108 天前 - … gastric cancer, it is imperative to establish individualized treatment approaches that
can help identify … for patients with advanced gastric cancer, biomarkers that can help predict …