Showing 5,701 - 5,720 results of 20,442 for search '(functional OR function) data analysis', query time: 0.45s Refine Results
  1. 5701

    Subclinical Hypothyroidism and Type 2 Diabetes: A Systematic Review and Meta-Analysis. by Cheng Han, Xue He, Xinghai Xia, Yongze Li, Xiaoguang Shi, Zhongyan Shan, Weiping Teng

    Published 2015-01-01
    “…It is necessary to screen thyroid function in patients with T2DM, and appropriate individualized treatments in addition to thyroid function test should be given to T2DM patients with SCH as well.…”
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  2. 5702

    Effects of candidate genes on milk fat synthesis in ruminants: A meta-analysis by Lily Liu, Wenquan Yan, Min Yan, Songlin Liu, Qin Zhang, Emily Clark, Jinhai Wang

    Published 2025-06-01
    “…However, functional validation assays have been limited to a small number of related genes, yielding insufficient data to fully understand the biological processes in milk fat synthesis. …”
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    Article
  3. 5703

    Analysis of differential gene expression and novel transcript units of ovine muscle transcriptomes. by Chunlan Zhang, Guizhi Wang, Jianmin Wang, Zhibin Ji, Fei Dong, Tianle Chao

    Published 2014-01-01
    “…The reliability of the sequencing data was verified through qRT-PCR analysis of 12 genes. …”
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  4. 5704
  5. 5705

    Efficacy and safety of laser acupuncture on osteoarthritis: a systematic review and meta-analysis by Xiangdong Wen, Guojiang Zhang, Jinquan Cui, Yuzhe Tang, Qi Meng, Yang Su, Senbo An, Shui Sun, Shui Sun

    Published 2025-01-01
    “…The therapeutic effect of laser acupuncture disappeared at 8 weeks. In subgroup analysis, patients who received laser acupuncture with specific parameters had better VAS scores and WOMAC scores than patients in other subgroups.ConclusionThe application of laser acupuncture can improve knee pain and function in patients with osteoarthritis in the short term. …”
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  6. 5706

    Quantifying ruminal health: A statistical review and application of area and time under the curve in animal science by Luis O. Tedeschi

    Published 2025-12-01
    “…ATAUC integrates robust threshold analysis, smoothing functions for sensor transition, and advanced statistical summaries to ensure accurate and reproducible measurements even in the presence of sampling irregularities or sensor drift. …”
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    Article
  7. 5707

    DIAGNOSIS AND PREDICTION OF CHOLECYSTITIS DEVELOPMENT ON THE BASIS OF NEURAL NETWORK ANALYSIS OF RISK FACTORS by V. A. Lazarenko, A. E. Antonov

    Published 2017-12-01
    “…The collection of materials was held in at the hospitals of the city of Kursk and included a survey of 488 patients with hepatopancreatoduodenal diseases. 203 patients were suffering from cholecystitis, in 285 patients the diagnosis of cholecystitis was excluded. Analysis of risk factors’ data (such as sex, age, bad habits, profession, family relationships, etc.) was carried out using an internally developed artificial neural network (multilayer perceptron with hyperbolic tangent as the activation function). …”
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  8. 5708

    RP-18 HPLC Analysis of Drugs’ Ability to Cross the Blood-Brain Barrier by Anna W. Sobańska, Adam Hekner, Elżbieta Brzezińska

    Published 2019-01-01
    “…MLR analysis based upon the physicochemical data confirmed the value of the molecular descriptors, related to the CNS bioavailability. …”
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  9. 5709
  10. 5710
  11. 5711
  12. 5712

    Deep Learning-Enabled Integration of Histology and Transcriptomics for Tissue Spatial Profile Analysis by Yongxin Ge, Jiake Leng, Ziyang Tang, Kanran Wang, Kaicheng U, Sophia Meixuan Zhang, Sen Han, Yiyan Zhang, Jinxi Xiang, Sen Yang, Xiang Liu, Yi Song, Xiyue Wang, Yuchen Li, Junhan Zhao

    Published 2025-01-01
    “…GIST provides a generalizable framework for integrating histology with spatial transcriptome analysis, revealing novel insights into spatial organization and functional dynamics.…”
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  13. 5713
  14. 5714
  15. 5715

    Transcriptome Analysis Reveals Significant Differences in Gene Expression of Malignant Pheochromocytoma or Paraganglioma by Yong Joon Suh, Jung Ho Park, Sanchir-Erdene Bilegsaikhan, Dong Jin Lee

    Published 2019-01-01
    “…Among the 171 samples obtained from the COMETE cohort, 19 were malignant and 152 were benign. A comparative analysis of the mRNA expression data of the two databases revealed that 11 up/downregulated pathways involved in malignant PC/PG were related to cancer signaling, metabolic alteration, and prominent mitosis, whereas 6 upregulated genes and 1 downregulated gene were significantly enriched in the functional annotation pathways. …”
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  16. 5716

    Nontargeted Metabolomic Analysis of Plasma Metabolite Changes in Patients with Adolescent Idiopathic Scoliosis by Lige Xiao, Guanteng Yang, Hongqi Zhang, Jinyang Liu, Chaofeng Guo, Yang Sun

    Published 2021-01-01
    “…The correlation between plasma metabolites and clinical indexes was analyzed by the Spearman rank correlation coefficient. Results. Analysis of clinical data showed that the body weight, body mass index (BMI), and bone mineral density (BMD) index of the AIS group significantly decreased, while the blood phosphorus and Cobb angles increased significantly. …”
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  17. 5717

    Identification of RNA binding protein genes associated with colorectal cancer by bioinformatics analysis by Rong-Chao He, Haibo Wang, Jun He, Hou-Dong Wang, Zhong Shen

    Published 2025-08-01
    “…This research conducted a thorough examination of the prognostic and functional significance of RBP-related gene sets (RBPGs) in CRC by utilizing transcriptomic data from the cancer genome atlas (TCGA). …”
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  18. 5718
  19. 5719

    Identification and expression analysis of NUDIX gene family in Rosa chinensis ‘Old Blush’ by FANG Huiyi, LIANG Yuwei, LI Xinyuan, Sun Fuhui, BI Bo, ZHANG Liangsheng

    Published 2024-12-01
    “…The chromosome localization results indicated that NUDIX genes of Rosa chinensis ‘Old Blush’ underwent multiple tandem duplication event, most of which went through purifying selection. Transcriptomic data analysis revealed that RcNUDIX1a/1b/1d/1e were specifically expressed in petals. …”
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  20. 5720

    HyperKon: A Self-Supervised Contrastive Network for Hyperspectral Image Analysis by Daniel La’ah Ayuba, Jean-Yves Guillemaut, Belen Marti-Cardona, Oscar Mendez

    Published 2024-09-01
    “…The use of a pretrained image classification model (trained on cats and dogs, for example) as a perceptual loss function for hyperspectral super-resolution and pansharpening tasks is surprisingly effective. …”
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