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Immune regulatory genes impact the hot/cold tumor microenvironment, affecting cancer treatment and patient outcomes
Published 2025-01-01“…Kyoto Encyclopedia of Genes and Genomes and Hallmark pathway enrichment were evaluated through gene set variation analysis. Additionally, hub genes that regulate the tumor microenvironment were identified, and their expression patterns were analyzed using single-cell RNA sequencing. …”
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62
Hubungan Sanitasi Lingkungan Rumah dengan Kejadian Askariasis dan Trikuriasis pada Siswa SD N 29 Purus Padang
Published 2015-09-01“…Research instruments were stool examination and questionnaire. Bi variate analysis was chi-square test. The results showed that the worm infection rate in student of Elementary School 29 Purus Padang<br />was 38 %, consist of Ascaris lumbricoides infection (33%), Trichuris trichiura infection (9.1%) and infection of both species (3.6%). …”
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63
Genetic determinants of silver nanoparticle resistance and the impact of gamma irradiation on nanoparticle stability
Published 2025-01-01“…Conclusions For the detection of single-nucleotide polymorphisms (SNPs) and the identification of all variants (SNPs, insertions, and deletions) in our isolates, the Variation Analysis Service tool available in the Bacterial and Viral Bioinformatics Resource Center (BV-BRC) was used. …”
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64
Cuproptosis-Related Signature Predicts the Prognosis, Tumor Microenvironment, and Drug Sensitivity of Hepatocellular Carcinoma
Published 2022-01-01“…The survival characteristics of the molecular subtype and the signature were analyzed. The Gene Set Variation Analysis was performed for functional annotation. …”
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65
New bitongling regulates gut microbiota to predict angiogenesis in rheumatoid arthritis via the gut-joint axis: a deep neural network approach
Published 2025-02-01“…Five characteristic microbial taxa, including f_Mycoplasmataceae, s_Metamycoplasma_sualvi, and g_Prevotellaceae_Ga6A1_group, were identified and associated with NBTL’s modulation of the VEGF pathway. Gene set variation analysis (GSVA) revealed significant downregulation of the VEGF signaling pathway following NBTL treatment. …”
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66
Efferocytosis-related gene IL33 predicts prognosis and immune response and mediates proliferation and migration in vitro and in vivo of breast cancer
Published 2025-01-01“…The enrichment of metabolic pathways within the detected clusters was evaluated using gene set variation analysis (GSVA) and gene set enrichment analysis (GSEA). …”
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67
Integrating bulk and single-cell RNA sequencing data: unveiling RNA methylation and autophagy-related signatures in chronic obstructive pulmonary disease patients
Published 2025-02-01“…Functional enrichment analyses, including Gene Ontology (GO), gene set enrichment analysis (GSEA), and gene set variation analysis (GSVA), were performed. Weighted gene co-expression network analysis (WGCNA) and immune infiltration analysis were conducted. …”
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68
Integrated bioinformatics analysis and experimental validation of exosome-related gene signature in steroid-induced osteonecrosis of the femoral head
Published 2025-01-01“…The CIBERSORT was implemented to calculate the immune cell infiltration. Gene Set Variation Analysis (GSVA), Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) were conducted to investigate latent enriched pathways. …”
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69
CYFIP2: potential pancreatic cancer biomarker and immunotherapeutic target
Published 2024-12-01“…Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Set Variation Analysis (GSVA) were used to explore the multiple biological functions and regulatory pathways in which CYFIP2 co-expressed genes co-engage in pancreatic cancer. …”
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70
The role of FTO in m6A RNA methylation and immune regulation in Staphylococcus aureus infection-related osteomyelitis
Published 2025-02-01“…Further, unsupervised clustering analysis, gene set enrichment analysis (GSEA), and gene set variation analysis (GSVA) were employed to assess immune cell infiltration. …”
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71
Spatiotemporal Variation of Water Use Efficiency and Its Responses to Climate Change in the Yellow River Basin from 1982 to 2018
Published 2025-01-01“…This research was conducted based on Gross Primary Productivity (GPP), Evapotranspiration (ET), meteorological station data, and land use/cover data, and the methods of Ensemble Empirical Mode Decomposition (EEMD), trend variation analysis, the Mann–Kendall Significant Test (M-K test), and Partial Correlation Analysis (PCA) methods. …”
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