Showing 12,201 - 12,220 results of 14,284 for search 'function construction', query time: 0.20s Refine Results
  1. 12201

    Identification and validation of oxidative stress-related genes for the diagnosis of sepsis-induced acute lung injury. by Xue Fu, Jiawei Dong, Jian Yang, Xiaotian Zhang, Sen Wang, Shangkun Cai, Yiwei Zhang, Meng Zhang

    Published 2025-01-01
    “…A logistic regression model was constructed based on the identified hub oxidative stress-related genes. …”
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    Article
  2. 12202

    An Analysis of the Gene Expression Associated with Lymph Node Metastasis in Colorectal Cancer by Hongjie Yang, Jiafei Liu, Peishi Jiang, Peng Li, Yuanda Zhou, Zhichun Zhang, Qingsheng Zeng, Min Wang, Luciena Xiao Xiao, Xipeng Zhang, Yi Sun, Siwei Zhu

    Published 2023-01-01
    “…The data sets of CRC patients were collected through the Cancer Gene Atlas database; the differentially expressed genes (DEGs) associated with CRC lymph node metastasis were screened; a protein–protein interaction (PPI) network was constructed; the top 20 hub genes were selected; the Gene Ontology functions and the Kyoto Encyclopedia of Genes and Genomes pathways were enriched and analyzed. …”
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    Article
  3. 12203

    Network dynamics-based subtyping of Alzheimer’s disease with microglial genetic risk factors by Jae Hyuk Choi, Jonghoon Lee, Uiryong Kang, Hongjun Chang, Kwang-Hyun Cho

    Published 2024-10-01
    “…The network model incorporated 20 known risk factors and crucial signaling pathways associated with microglial functionality, such as inflammation, anti-inflammation, phagocytosis, and autophagy. …”
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    Article
  4. 12204

    Analysis of Flow-induced Vibration Characteristics of Fuel Rods Using POD and DMD Methods by MIN Guangyun1, JIANG Naibin1, 2

    Published 2024-10-01
    “…To unravel the intricacies of this complex phenomenon, a sophisticated high-fidelity finite element model of fuel rods was meticulously constructed. This model serves as the cornerstone for a computational analysis of flow-induced vibration responses utilizing ANSYS Batch, firmly roots in the principles of random vibration theory. …”
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    Article
  5. 12205

    A nicotinamide metabolism-related gene signature for predicting immunotherapy response and prognosis in lung adenocarcinoma patients by Meng Wang, Wei Li, Fang Zhou, Zheng Wang, Xiaoteng Jia, Xingpeng Han

    Published 2025-02-01
    “…Background Nicotinamide (NAM) metabolism fulfills crucial functions in tumor progression. The present study aims to establish a NAM metabolism-correlated gene (NMRG) signature to assess the immunotherapy response and prognosis of lung adenocarcinoma (LUAD). …”
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    Article
  6. 12206

    CREATIVE CORE WITHIN THE SCIENTIFIC RESEARCH OF EDUCATIONAL PROBLEMS by Vladimir I. Zagvyazinsky, Alfia F. Zakirova

    Published 2015-03-01
    “…The authors describe the types of hypotheses, such as working and scientific (ready), functional and explanatory. The logical and gnoseological structure of a scientific hypothesis is shown in the study. …”
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    Article
  7. 12207

    Development and validation of a nomogram for predicting cancer-related fatigue in patients with glioma: a multicenter study by Qiuxia Wu, Cuiqun Su, Manxia Xing, Liangmei Ouyang

    Published 2025-06-01
    “…LASSO model and multivariable logistic regression analyses were used to determine the significant risk factors contributing to the occurrence of cancer-related fatigue in glioma patients. A nomogram was constructed and its predictive accuracy and conformity was validated by ROC curves, calibration curves and decision curve analysis.ResultsCombining LASSO algorithm and multivariable logistic regression analyses, the cancer stage (p=0.014), and the scores of Perceived Social Support Scale (PSSS) (p<0.001), physical functioning (PF) (p<0.001), bodily pain (BP) (p=0.031), general health (GH) (p<0.001), and mental health (MH) (p=0.009) were the independent risk factors for cancer-related fatigue of glioma patients. …”
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    Article
  8. 12208

    Prognostic analysis of bladder cancer with neddylation-related genes by Huang Xiaolong, Deng Min, Zhang Sizhou, Hu Daorong, Pan Juncheng, Wang Yanjian, Li Jie Gu Hong, Zheng Ji, Wu Qingjian

    Published 2025-06-01
    “…Additionally, a protein–protein interaction (PPI) network, gene set enrichment analysis (GSEA), and BLCA single-cell sequencing data were utilized to explore the functional roles of hub genes in BLCA and their impact on biological pathways. …”
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    Article
  9. 12209

    The mechanism of RNA methylation writing protein-related prognostic genes in lung adenocarcinoma based on bioinformatics by Sha Yin, Guangyan Luo, Lei Luo

    Published 2025-06-01
    “…A reliable prognostic model was constructed. The identified prognostic genes also play significant roles in immune cell infiltration in LUAD. …”
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    Article
  10. 12210

    Identifying pyroptosis-related genes as novel therapeutic targets in diabetic foot ulceration by Kang Liu, Lei Lei, Xin-lei Yang, Xin-he Zhang

    Published 2025-08-01
    “…Six key PRDEGs (FSTL1, PINK1, HDAC3, ULK1, CPTP, and NOD2) were selected, and a diagnostic model was constructed using random forest and LASSO regression. …”
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    Article
  11. 12211

    Genome‐wide screening of abberant methylated drivers combined with relative risk loci in bladder cancer by Chuanjie Zhang, Kangjie Shen, Yuxiao Zheng, Feng Qi, Jun Luo

    Published 2020-01-01
    “…Abstract Background To explore important methylation‐driven genes (MDGs) and risk loci to construct risk model for prognosis of bladder cancer (BCa). …”
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    Article
  12. 12212

    Simulation of Image-Guided Microwave Ablation Therapy Using a Digital Twin Computational Model by Frankangel Servin, Jarrod A. Collins, Jon S. Heiselman, Katherine C. Frederick-Dyer, Virginia B. Planz, Sunil K. Geevarghese, Daniel B. Brown, William R. Jarnagin, Michael I. Miga

    Published 2024-01-01
    “…Healthcare digital twins (DTs) are anatomically one-to-one biophysical models constructed from structural, functional, and biomarker-based imaging data to simulate patient-specific therapies and guide clinical decision-making. …”
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    Article
  13. 12213

    Identification and validation of efferocytosis-related biomarkers for the diagnosis of metabolic dysfunction-associated steatohepatitis based on bioinformatics analysis and machine... by Chenghui Cao, Chenghui Cao, Wenwu Liu, Xin Guo, Shuwei Weng, Yang Chen, Yonghong Luo, Shuai Wang, Botao Zhu, Botao Zhu, Yuxuan Liu, Yuxuan Liu, Daoquan Peng

    Published 2024-10-01
    “…This analysis was followed by a series of in-depth investigations, including protein–protein interaction (PPI), correlation analysis, and functional enrichment analysis, to uncover the molecular interactions and pathways at play. …”
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    Article
  14. 12214

    Identification of immune subtypes associated with CD8+ T cell-related genes providing new treatment strategies of esophageal carcinoma by Youyi Wu, Chen Lin, Chen Lin, Yuchen Qian, Xiaowei Huang, Yajing Xu, Jiayi Li, Youdi He, Congying Xie, Huafang Su

    Published 2025-02-01
    “…Cox analysis was used to process ESCA clinical information, and the immune clusters (ICs) were constructed through consensus cluster analysis. Furthermore, we constructed an immune risk score model to predict the prognosis of ESCA based on these CD8+ T cell genes. …”
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    Article
  15. 12215

    TOM40 as a prognostic oncogene for oral squamous cell carcinoma prognosis by Lifei Deng, Hong Ran, Dunhui Yang, Zhen Wang, Peng Zhao, Hengjie Huang, Yongjin Wu, Peng Zhang

    Published 2025-01-01
    “…A network of genes co-expressed with TOM40 was constructed and functionally annotated by gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. …”
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    Article
  16. 12216

    Identification of biomarkers for Laryngeal squamous cell carcinoma through Mendelian randomization and integrated bioinformatics analysis by Pengjian Zhang, Weizhang Chen, Kai Chen, Yuanhang Ye, Weijun Wu

    Published 2025-07-01
    “…Immune landscape analysis revealed distinct patterns of immune cell infiltration and functional scores between high-risk and low-risk groups, with significant differences in the infiltration of monocytes and neutrophils. …”
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    Article
  17. 12217
  18. 12218
  19. 12219

    ASSESSMENT OF THE OCCLUSAL RELATIONS NATURE AT THE STAGES OF ORTHOPEDIC REHABILITATION OF PERSONS WITH PERIODONTAL TISSUE DISEASES COMPLICATED BY DENTITION DEFECTS by О.V. Bida, О.V. Bida

    Published 2021-03-01
    “…We have investigated the stereotype of functional loads according to the following quantitative and qualitative indicators: the index of asymmetry of force between the parts (%); time of occurrence of the maximum amount of dental contacts (sec); time of disclusion (sec); the presence of premature occlusal contacts on the natural teeth and orthopedic constructions, and the presence of changes in the direction of the trajectory of the total vector of occlusal load.  …”
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    Article
  20. 12220

    Transcriptomic analysis of mammary gland tissues in lactating and non-lactating dairy goats reveals miRNA-mediated regulation of lactation, involution, and remodeling by Yanan Peng, Xinhua Duan, Linfan Zhang, Yiyi Guo, Jinlin Cao, Weiping Ao, Rong Xuan

    Published 2025-05-01
    “…Differential expression analysis, miRNA clustering, Gene Ontology (GO) annotation, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment were performed to predict the functions of target genes. A miRNA-mRNA regulatory network associated with mammary gland development was constructed, and functional validation experiments were conducted to confirm key regulatory relationships.ResultsA total of 1,120 miRNAs were identified, including 408 known and 712 newly predicted miRNAs. …”
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    Article