Showing 341 - 360 results of 626 for search '"omics"', query time: 0.05s Refine Results
  1. 341

    Inflammation-Related Mechanisms in Chronic Kidney Disease Prediction, Progression, and Outcome by Simona Mihai, Elena Codrici, Ionela Daniela Popescu, Ana-Maria Enciu, Lucian Albulescu, Laura Georgiana Necula, Cristina Mambet, Gabriela Anton, Cristiana Tanase

    Published 2018-01-01
    “…In this scenario, a huge step forward was made by the increasing progression of omics approaches, specially designed for identification of biomarkers useful for early diagnostic and follow-up. …”
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    Article
  2. 342

    Disease prediction by network information gain on a single sample basis by Jinling Yan, Peiluan Li, Ying Li, Rong Gao, Cheng Bi, Luonan Chen

    Published 2025-01-01
    “…Moreover, our method was validated by successfully predicting disease deteriorations and identifying their potential therapeutic targets from four real omics datasets, i.e., an influenza dataset and three cancer datasets.…”
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  3. 343
  4. 344

    DisCo P-ad: Distance-Correlation-Based <i><b>p</b></i>-Value Adjustment Enhances Multiple Testing Corrections for Metabolomics by Debmalya Nandy, Debashis Ghosh, Katerina Kechris

    Published 2025-01-01
    “…While our focus is on metabolomics, DisCo P-ad can also readily be applied to other high-dimensional omics studies.…”
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    Article
  5. 345

    Non‐Invasive Tumor‐Naïve Minimal Residual Disease Detection of Liver Cancer by Incorporating Circulating Tumor DNA Features and Alpha‐Fetoprotein: A Prospective Study by Qingqi Ren, Shiyong Li, Guolin Zhong, Yunfei Li, Dao‐Ling Huang, Liangliang Zhang, Yumin Feng, Guanghui Long, Mao Mao

    Published 2024-12-01
    “…Conclusion This prospective study highlights the prognostic value of ctDNA‐based tumor‐naïve MRD detection through a multi‐omics assay in early‐stage liver cancer patients.…”
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    Article
  6. 346
  7. 347

    Nutrigenomics: A promising frontier in chronic disease prevention by Seyed Morteza Hosseiniara, Solmaz Sadat Hosseini Zijoud

    Published 2024-12-01
    “…By addressing current challenges and leveraging the power of multi-omics and interdisciplinary research, we can harness the potential of nutrigenomics to advance precision medicine and ultimately enhance human health and well-being.…”
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  8. 348
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  11. 351

    A Highly Efficient System for Separating Glandular and Non-glandular Trichome of Cucumber Fruit for Transcriptomic and Metabolomic Analysis by Lei Sun, Zhongxuan Feng, Fang Wang, Yu Qi, Menghang An, Lin Yang, Min Feng, Mingqi Wang, Huazhong Ren, Xingwang Liu

    Published 2025-01-01
    “…However, current methods for separating trichomes encounter challenges such as low efficiency and insufficient accuracy, limiting their applicability in multi-omics sequencing studies. This protocol introduces an efficient system designed for the precise separation of glandular and non-glandular trichomes from cucumber fruit. …”
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    Article
  12. 352

    Disease-associated genetic variants in the regulatory regions of human genes: mechanisms of action on transcription and genomic resources for dissecting these mechanisms by E. V. Ignatieva, E. A. Matrosova

    Published 2021-03-01
    “…Dissecting the regulatory roles of polymorphic loci have been impossible without close integration of modern experimental approaches with computer analysis of a growing wealth of genetic and biological data obtained using omics technologies. The review provides a brief description of a number of the most well-known public genomic information resources containing data obtained using omics technologies, including (1) resources that accumulate data on the chromatin states and the regions of transcription factor binding derived from ChIP-seq experiments; (2) resources containing data on genomic loci, for which allele-specific transcription factor binding was revealed based on ChIP-seq technology; (3) resources containing in silico predicted data on the potential impact of genetic variants on the transcription factor binding sites.…”
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  13. 353

    Integrated analysis of transcriptome, sRNAome, and degradome involved in the drought-response of maize Zhengdan958 by Yang Shuqiong, Liu Jiafei, Cao Lingling, Chen Jibao, Duan Pengfei

    Published 2025-01-01
    “…Further to help comprehending the molecular mechanisms underlying drought adaptability and tolerance of maize, an integrated multi-omics analysis of transcriptome, sRNAome, and degradome was performed on the seedling roots of an elite hybrid Zhengdan958 under drought stress. …”
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    Article
  14. 354

    Strategies to Improve the Quality and Freshness of Human Bone Marrow-Derived Mesenchymal Stem Cells for Neurological Diseases by Da Yeon Lee, Sung Eun Lee, Do Hyeon Kwon, Saraswathy Nithiyanandam, Mi Ha Lee, Ji Su Hwang, Shaherin Basith, Jung Hwan Ahn, Tae Hwan Shin, Gwang Lee

    Published 2021-01-01
    “…As studies on the traditional characteristics of hBM-MSCs before transplantation into the brain are very limited, omics and machine learning approaches are needed to evaluate cell conditions with indepth and comprehensive analyses. …”
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    Article
  15. 355

    Using TECHnology to predict the future of biomedical education by Robert A. Harris, Hasan Kazdağlı

    Published 2025-01-01
    “…Biomedical research is currently benefiting from a technological revolution in which multiple forms of omics are permitting unprecedented characterization of molecular pathways. …”
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  16. 356
  17. 357

    Targeting CXCL8 signaling sensitizes HNSCC to anlotinib by reducing tumor-associated macrophage-derived CLU by Xin Hu, Yikang Ji, Mi Zhang, Zhihui Li, Xinhua Pan, Zhen Zhang, Xu Wang

    Published 2025-02-01
    “…Understanding the spatial heterogeneity of glucose deficiency can reveal the molecular mechanisms regulating cancer metabolism and identify therapeutic targets to improve effective nutrient-starvation therapies. Methods Multiple omics data from RNA-seq, proteomics and spatial transcriptome analyses of HNSCC samples were integrated to analyze the spatial heterogeneity of glucose deficiency. …”
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    Article
  18. 358

    Mitochondrial Heterogeneity: Evaluating Mitochondrial Subpopulation Dynamics in Stem Cells by D. C. Woods

    Published 2017-01-01
    “…While it has been well established that mitochondria in different tissues have distinctive ultrastructural features consistent with differential bioenergetic demands, recent and emerging technical advances in flow cytometry, imaging, and “-omics”-based bioinformatics have only just begun to explore the complex and divergent properties of mitochondria within tissues and cell types. …”
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  19. 359

    MetaboLINK is a novel algorithm for unveiling cell-specific metabolic pathways in longitudinal datasets by Jared Lichtarge, Gerarda Cappuccio, Gerarda Cappuccio, Soumya Pati, Soumya Pati, Alfred Kwabena Dei-Ampeh, Alfred Kwabena Dei-Ampeh, Senghong Sing, Senghong Sing, Senghong Sing, LiHua Ma, Zhandong Liu, Zhandong Liu, Mirjana Maletic-Savatic, Mirjana Maletic-Savatic, Mirjana Maletic-Savatic

    Published 2025-01-01
    “…IntroductionIn the rapidly advancing field of ‘omics research, there is an increasing demand for sophisticated bioinformatic tools to enable efficient and consistent data analysis. …”
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  20. 360

    The value of biomarkers in the diagnosis and prognostic analysis of IgA nephropathy by Lu Min, Li Gui-sen

    Published 2025-01-01
    “…In this paper, we reviewed the classification and current research status of newly discovered biomarkers in IgA nephropathy in recent years, including the application of the latest omics techniques in the diagnosis and prognosis of IgAN.…”
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