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2. Transcriptome Analysis of Acid-Responsive Genes and Pathways Involved in Polyamine Regulation in Iron Walnut
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3. Identification of Prognostic Biomarkers for Glioblastoma Based on Transcriptome and Proteome Association Analysis
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4. Comprehensive long non-coding RNA expression profiling reveals their potential roles in systemic lupus erythematosus
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5. Identification of hub genes and pathways in glioblastoma by bioinformatics analysis
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6. Dynamic assessing silica particle-induced pulmonary fibrosis and associated regulation of long non-coding RNA expression in Wistar rats
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7. Glioma stages prediction based on machine learning algorithm combined with protein-protein interaction networks
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8. Glutamatergic Mechanisms in Glioblastoma and Tumor-Associated Epilepsy
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9. The signature of HBV-related liver disease in peripheral blood mononuclear cell DNA methylation
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10. Soluble protein tyrosine phosphatase receptor type Z (PTPRZ) in cerebrospinal fluid is a potential diagnostic marker for glioma
    Yu Yamanoi et al, 2020, Neuro-Oncology Advances CrossRef
11. Identification of a glioma functional network from gene fitness data using machine learning
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12. Prognostic impact of a novel gene expression profile classifier for the discrimination between metastatic and non-metastatic primary colorectal cancer tumors
    María Laura Gutiérrez et al, 2017, Oncotarget CrossRef
13. The Identification of Key Genes and Pathways in Glioma by Bioinformatics Analysis
    Mingfa Liu et al, 2017, Journal of Immunology Research CrossRef
14. Bioinformatics analysis of potential core genes for glioblastoma
    Yu Zhang et al, 2020, Bioscience Reports CrossRef
15. Non-negative matrix factorization and differential expression analyses identify hub genes linked to progression and prognosis of glioblastoma multiforme
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16. Laser Capture Microdissection and RNA-Seq Analysis: High Sensitivity Approaches to Explain Histopathological Heterogeneity in Human Glioblastoma FFPE Archived Tissues
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