1. Bioinformatics analysis identifies COL1A1, THBS2 and SPP1 as potential predictors of patient prognosis and immunotherapy response in gastric cancer
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2. Identification of Paxillin as a Prognostic Factor for Glioblastoma via Integrated Bioinformatics Analysis
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4. Quantitative study of bioinformatics analysis on glioma: a bibliometric analysis
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5. Identification of Prognostic Biomarkers of Glioblastoma Based on Multidatabase Integration and Its Correlation with Immune-Infiltration Cells
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6. Identification of an Immune-Related Prognostic Risk Model in Glioblastoma
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7. TRAF3IP3 promotes glioma progression through the ERK signaling pathway
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9. Preliminary Exploration of Clinical Efficacy and Pharmacological Mechanism of Modified Danggui-Shaoyao San in the Treatment of Depression in Patients with Chronic Kidney Disease
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11. Characterization of the Immune Cell Infiltration Landscape and a New Prognostic Score in Glioblastoma
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12. Characterization of prevalent tyrosine kinase inhibitors and their challenges in glioblastoma treatment
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13. Novel LncRNA OXCT1-AS1 indicates poor prognosis and contributes to tumorigenesis by regulating miR-195/CDC25A axis in glioblastoma
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14. The Impact of Epigenetic Modifications on Adaptive Resistance Evolution in Glioblastoma
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15. Identification of a Novel Risk Model: A Five-Gene Prognostic Signature for Pancreatic Cancer
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16. Identification of Influential Genes for Lung Cancer Using Machine Learning Approaches
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