Showing 461 - 480 results of 2,086 for search '"Microarray"', query time: 0.06s Refine Results
  1. 461

    SLEPR: a sample-level enrichment-based pathway ranking method -- seeking biological themes through pathway-level consistency. by Ming Yi, Robert M Stephens

    Published 2008-09-01
    “…Analysis of microarray and other high throughput data often involves identification of genes consistently up or down-regulated across samples as the first step in extraction of biological meaning. …”
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  2. 462

    A Novel Feature Selection Method for Classification of Medical Data Using Filters, Wrappers, and Embedded Approaches by Saba Bashir, Irfan Ullah Khattak, Aihab Khan, Farhan Hassan Khan, Abdullah Gani, Muhammad Shiraz

    Published 2022-01-01
    “…Feature selection is the process of identifying the most relevant features from the given data having a large feature space. Microarray datasets are comprised of high-quality features and very few samples of data. …”
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  3. 463

    Translational profiling reveals novel gene expression changes in the direct and indirect pathways in a mouse model of levodopa induced dyskinesia by Sabika Jafri, Mahdi Ghani, Natalie Stickle, Carl Virtanen, Lili-Naz Hazrati, Naomi P. Visanji, Naomi P. Visanji, Naomi P. Visanji

    Published 2025-03-01
    “…Extracted ribosomal RNA was amplified, purified, and gene expression was quantified using microarray.ResultsOne hundred ninety-five significantly varying transcripts were identified among the four treatment groups. …”
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    Article
  4. 464

    Genome-wide analysis of m6A-modified circRNAs in the mouse model of myocardial injury induced by obstructive sleep apnea by Jiuhuang Lan, Yuhui Wang, Chang Liu, Hongli Chen, Qingshi Chen

    Published 2025-04-01
    “…Methods Firstly, the expression profiles of m6A-modified circRNA in left ventricular tissue of the CIH mouse model were examined using circRNA microarray analysis. Then, the expression level of selected circrRNA was compared by folding change filtration, and the consistency between them and microarray results was verified by MeRIP-qPCR. …”
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    Article
  5. 465

    Beckwith–Wiedemann Syndrome Diagnosed in the Early Second Trimester in Two Fetuses with Isolated Omphalocele by Yan-Dong Yang, Dong-Zhi Li

    Published 2025-01-01
    “…For an omphalocele, ES is an option for patients after normal microarray and methylation analyses.…”
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  6. 466

    Ultrasensitive Bead-Based Immunoassay for Real-Time Continuous Sample Flow Analysis by Yuri M. Shlyapnikov, Elena A. Shlyapnikova

    Published 2025-05-01
    “…The flow cell is integrated with a microarray-based signal detection module, where beads with bound analyte scan the microarray surface and are retained on it by single specific interactions, assuring ultra-high sensitivity of the method. …”
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  7. 467

    Comparison of eleven methods for genomic DNA extraction suitable for large-scale whole-genome genotyping and long-term DNA banking using blood samples. by Androniki Psifidi, Chrysostomos I Dovas, Georgios Bramis, Thomai Lazou, Claire L Russel, Georgios Arsenos, Georgios Banos

    Published 2015-01-01
    “…Over the recent years, next generation sequencing and microarray technologies have revolutionized scientific research with their applications to high-throughput analysis of biological systems. …”
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  8. 468

    Elevated glucose represses lysosomal and mTOR-related genes in renal epithelial cells composed of progenitor CD133+ cells. by Swojani Shrestha, Sandeep Singhal, Donald A Sens, Seema Somji, Bethany A Davis, Rachel Guyer, Spencer Breen, Matthew Kalonick, Scott H Garrett

    Published 2021-01-01
    “…The results validated the microarray analysis, which showed a significant decrease in the mRNA as well as protein expression of the selected genes as the concentration of glucose increased. …”
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    Article
  9. 469

    Prediction of gene expression in embryonic structures of Drosophila melanogaster. by Anastasia A Samsonova, Mahesan Niranjan, Steven Russell, Alvis Brazma

    Published 2007-07-01
    “…The use of high-throughput approaches, such as large-scale in situ hybridisation and genome-wide expression profiling via DNA microarrays, is beginning to provide insights into the complexities of development. …”
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  10. 470
  11. 471

    D-Mannose Inhibits Adipogenic Differentiation of Adipose Tissue-Derived Stem Cells via the miR669b/MAPK Pathway by Yitong Liu, Lijia Guo, Lei Hu, Chen Xie, Jingfei Fu, Yiyang Jiang, Nannan Han, Lu Jia, Yi Liu

    Published 2020-01-01
    “…The microarray data were further analyzed by a Venn diagram and Gene Set Enrichment Analysis (GSEA). …”
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  12. 472

    Translational arrest due to cytoplasmic redox stress delays adaptation to growth on methanol and heterologous protein expression in a typical fed-batch culture of Pichia pastoris. by Bryn Edwards-Jones, Rochelle Aw, Geraint R Barton, Gregory D Tredwell, Jacob G Bundy, David J Leak

    Published 2015-01-01
    “…<h4>Results</h4>We have followed a typical fed-batch induction regime for heterologous protein production under the control of the AOX1 promoter using both microarray and metabolomic analysis. The genetic constructs involved 1 and 3 copies of the TRY1 gene, encoding human trypsinogen. …”
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  13. 473

    An animal model with a cardiomyocyte-specific deletion of estrogen receptor alpha: functional, metabolic, and differential network analysis. by Sriram Devanathan, Timothy Whitehead, George G Schweitzer, Nicole Fettig, Attila Kovacs, Kenneth S Korach, Brian N Finck, Kooresh I Shoghi

    Published 2014-01-01
    “…Analysis of microarray data revealed differential variations in the expression of 208 genes affecting multiple transcriptional networks. …”
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  14. 474

    Machine learning-based single-sample molecular classifier for cancer grading by Zoia Antysheva, Nikita Kotlov, Mariia V. Guryleva, Ivan Valiev, Viktor Svekolkin, Anna Belozerova, Sheila T. Yong, Dmitry Tabakov, Alexander Bagaev, Vladimir Kushnarev

    Published 2025-07-01
    “…To address this issue, we devised a molecular-based classifier that uses gene expression data from RNA sequencing (RNA-seq) or microarray profiling to predict high- and low-grade risk groups for breast, lung, and renal cancers. …”
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  15. 475

    Transcriptional profile of muscle following acute induction of symptoms in a mouse model of Kennedy's disease/spinobulbar muscular atrophy. by Katherine Halievski, Kaiguo Mo, J Timothy Westwood, Douglas A Monks

    Published 2015-01-01
    “…We previously reported a microarray study of genes differentially expressed in muscle of three genetically unique mouse models of KD/SBMA but were unable to detect those which are androgen-dependent or are associated with onset of symptoms.…”
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  16. 476

    Comparison of Normal and Pre-Eclamptic Placental Gene Expression: A Systematic Review with Meta-Analysis. by O Brew, M H F Sullivan, A Woodman

    Published 2016-01-01
    “…A total of 167 microarray samples were available for meta-analysis. …”
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  17. 477
  18. 478

    Dietary inulin supplementation modifies significantly the liver transcriptomic profile of broiler chickens. by Natalia Sevane, Federica Bialade, Susana Velasco, Almudena Rebolé, Maria Luisa Rodríguez, Luís T Ortiz, Javier Cañón, Susana Dunner

    Published 2014-01-01
    “…Quantitative real-time PCR analysis validated the microarray expression results for five out of seven genes tested. …”
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  19. 479

    The CO-Regulation Database (CORD): a tool to identify coordinately expressed genes. by John P Fahrenbach, Jorge Andrade, Elizabeth M McNally

    Published 2014-01-01
    “…<h4>Results</h4>Using the GEO and ArrayExpress database, we analyzed over 120,000 group by group experiments from gene microarrays to determine the correlating genes for over 30,000 different genes or hypothesized genes. …”
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  20. 480

    MicroRNA profiling in human colon cancer cells during 5-fluorouracil-induced autophagy. by Ni Hou, Jia Han, Jie Li, Yingxun Liu, Yannan Qin, Lei Ni, Tusheng Song, Chen Huang

    Published 2014-01-01
    “…The physiological importance of the miRNA-autophagy interconnection is only beginning to be elucidated. MiRNA microarray technology facilitates analysis of global miRNA expression in certain situations. …”
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