1. Joint Transcriptomic Analysis of Lung Cancer and Other Lung Diseases
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  2. Optimal Supervised Reduction of High Dimensional Transcription Data
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  3. Advanced Glycation End Products’ Receptor DNA Methylation Associated with Immune Infiltration and Prognosis of Lung Adenocarcinoma and Lung Squamous Cell Carcinoma
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  4. Comprehensive Profiling Reveals Distinct Microenvironment and Metabolism Characterization of Lung Adenocarcinoma
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  5. Single Cell RNA-Seq Identifies Immune-Related Prognostic Model and Key Signature-SPP1 in Pancreatic Ductal Adenocarcinoma
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  7. MiR-1-3p Inhibits Lung Adenocarcinoma Cell Tumorigenesis via Targeting Protein Regulator of Cytokinesis 1
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  8. Identification of VWF as a Novel Biomarker in Lung Adenocarcinoma by Comprehensive Analysis
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  9. Identification of CAV1 and DCN as potential predictive biomarkers for lung adenocarcinoma
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  10. Analysis of Expression and Its Clinical Significance of the Secreted Phosphoprotein 1 in Lung Adenocarcinoma
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  11. Identifying General Tumor and Specific Lung Cancer Biomarkers by Transcriptomic Analysis
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  12. Identification of Key Genes With Differential Correlations in Lung Adenocarcinoma
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  13. Expression and Predictive Significance of FHL1 and SLIT3 in Surgically Resected Lung Adenocarcinoma
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  15. Prognostic Implication of Energy Metabolism-Related Gene Signatures in Lung Adenocarcinoma
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  16. Positive regulators of T cell proliferation as biomarkers for predicting prognosis and characterizing the immune landscape in lung adenocarcinoma
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  17. Integrated Network Analysis Reveals FOXM1 and MYBL2 as Key Regulators of Cell Proliferation in Non-small Cell Lung Cancer
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  18. Unraveling the therapeutic mechanisms of dichloroacetic acid in lung cancer through integrated multi-omics approaches: metabolomics and transcriptomics
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