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Showing 61 - 80 results of 814 for search '(( effective microarray ) OR ( (selective OR selective) microarray ))', query time: 0.14s Refine Results
  1. 61

    High reproducibility using sodium hydroxide-stripped long oligonucleotide DNA microarrays by Zhiyuan Hu, Melissa Troester, Charles M. Perou

    Published 2005-01-01
    “…In addition, when there is limited availability of mRNA from tissue sources, RNA amplification can and is being used to produce sufficient quantities of cRNA for microarray hybridization. Taking advantage of the selective degradation of RNA under alkaline conditions, we have developed a method to “strip” glass-based oligonucleotide microarrays that use fluorescent RNA in the hybridization, while leaving the DNA oligonucleotide probes intact and usable for a second experiment. …”
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    A review of independent component analysis application to microarray gene expression data by Wei Kong, Charles R. Vanderburg, Hiromi Gunshin, Jack T. Rogers, Xudong Huang

    Published 2008-11-01
    “…Independent component analysis (ICA) methods have received growing attention as effective data-mining tools for microarray gene expression data. …”
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  5. 65

    Identification of the feline humoral immune response to Bartonella henselae infection by protein microarray. by Adam Vigil, Rocio Ortega, Aarti Jain, Rie Nakajima-Sasaki, Xiaolin Tan, Bruno B Chomel, Rickie W Kasten, Jane E Koehler, Philip L Felgner

    Published 2010-07-01
    “…Understanding the complex interactions between the host's immune system and bacterial pathogens is central to the field of infectious diseases and to the development of effective diagnostics and vaccines.<h4>Methodology</h4>We report the development of a microarray comprised of proteins expressed from 96% (1433/1493) of the predicted ORFs encoded by the genome of the zoonotic pathogen Bartonella henselae. …”
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  6. 66

    Robust Microarray Meta-Analysis Identifies Differentially Expressed Genes for Clinical Prediction by John H. Phan, Andrew N. Young, May D. Wang

    Published 2012-01-01
    “…Combining multiple microarray datasets increases sample size and leads to improved reproducibility in identification of informative genes and subsequent clinical prediction. …”
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  7. 67

    Microarray Data Analysis: From Hypotheses to Conclusions Using Gene Expression Data by Nicola J. Armstrong, Mark A. van de Wiel

    Published 2004-01-01
    “…We review several commonly used methods for the design and analysis of microarray data. To begin with, some experimental design issues are addressed. …”
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  8. 68

    A tailored lectin microarray for rapid glycan profiling of therapeutic monoclonal antibodies by Shen Luo, Baolin Zhang

    Published 2024-12-01
    “…In this study, we introduce a custom-designed lectin microarray featuring nine distinct lectins: rPhoSL, rOTH3, RCA120, rMan2, MAL_I, rPSL1a, PHAE, rMOA, and PHAL. …”
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  9. 69

    Microarray Evidences the Role of Pathologic Adipose Tissue in Insulin Resistance and Their Clinical Implications by Sandeep Kumar Mathur, Priyanka Jain, Prashant Mathur

    Published 2011-01-01
    “…The microarray evidences of molecular basis of obesity and insulin resistance are presented here. …”
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  10. 70

    Mechanism-based screen for G1/S checkpoint activators identifies a selective activator of EIF2AK3/PERK signalling. by Simon R Stockwell, Georgina Platt, S Elaine Barrie, Georgia Zoumpoulidou, Robert H Te Poele, G Wynne Aherne, Stuart C Wilson, Peter Sheldrake, Edward McDonald, Mathilde Venet, Christelle Soudy, Frédéric Elustondo, Laurent Rigoreau, Julian Blagg, Paul Workman, Michelle D Garrett, Sibylle Mittnacht

    Published 2012-01-01
    “…Transcriptional profiling by cDNA microarray combined with reverse genetics revealed phosphorylation of the eukaryotic initiation factor 2-alpha (EIF2A) through the eukaryotic translation initiation factor 2-alpha kinase 3 (EIF2AK3/PERK) as the mechanism of action of this compound. …”
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    Etiological diagnosis of miscarriage by combining use of chromosomal microarray analysis and whole-exome sequencing by Jianlong Zhuang, Wanyu Fu, Ling Gu, Xiaofang Ye, Junyu Wang, Chunnuan Chen

    Published 2025-07-01
    “…Abstract Background Chromosomal microarray analysis (CMA) is being increasingly used to reveal the genetic causes of miscarriage. …”
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  13. 73

    Improving machine learning detection of Alzheimer disease using enhanced manta ray gene selection of Alzheimer gene expression datasets by Zahraa Ahmed, Mesut Çevik

    Published 2025-08-01
    “…To alleviate such an effect, this study proposes a gene selection approach based on the parameter-free and large-scale manta ray foraging optimization algorithm. …”
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  14. 74

    Themis2/ICB1 is a signaling scaffold that selectively regulates macrophage Toll-like receptor signaling and cytokine production. by Matthew J Peirce, Matthew Brook, Nicholas Morrice, Robert Snelgrove, Shajna Begum, Alessandra Lanfrancotti, Clare Notley, Tracy Hussell, Andrew P Cope, Robin Wait

    Published 2010-07-01
    “…A second member of this family, Themis2 (Q91YX0), also known as ICB1 (Induced on contact with basement membrane 1), remains unreported at the protein level despite microarray and EST databases reporting Themis2 mRNA expression in B cells and macrophages.…”
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  15. 75

    THE VALIDATION OF THE RESULTS OF MICROARRAY STUDIES OF ASSOCIATION BETWEEN GENE POLYMORPHISMS AND THE FREQUENCY OF RADIATION EXPOSURE MARKERS by M. V. Khalyuzova, N. V. Litvyakov, A. E. Sazonov, Ye. N. Albakh, D. S. Isubakova, A. B. Karpov, R. M. Takhauov

    Published 2014-06-01
    “…The results from the selective validation research into the association between genetic polymorphisms and the frequency of cytogenetic abnormalities on a large independent sample are analyzed. …”
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  16. 76

    Discovery of possible gene relationships through the application of self-organizing maps to DNA microarray databases. by Rocio Chavez-Alvarez, Arturo Chavoya, Andres Mendez-Vazquez

    Published 2014-01-01
    “…DNA microarrays and cell cycle synchronization experiments have made possible the study of the mechanisms of cell cycle regulation of Saccharomyces cerevisiae by simultaneously monitoring the expression levels of thousands of genes at specific time points. …”
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  17. 77

    Molecular sub-classification of renal epithelial tumors using meta-analysis of gene expression microarrays. by Thomas Sanford, Paul H Chung, Ariel Reinish, Vladimir Valera, Ramaprasad Srinivasan, W Marston Linehan, Gennady Bratslavsky

    Published 2011-01-01
    “…<h4>Experimental design</h4>A search of publicly available databases was performed to identify microarray datasets with multiple histologic sub-types of renal cortical neoplasms. …”
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  18. 78

    Integrated Use of Statistical-Based Approaches and Computational Intelligence Techniques for Tumors Classification Using Microarray by Chia-Ding Hou, Yuehjen E. Shao

    Published 2015-01-01
    “…With the recent development of biotechnologies, cDNA microarray chips are increasingly applied in cancer research. …”
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  19. 79

    Circular RNA microarray expression profile and potential function of circDOCK1 in colorectal cancer by Guojing Zhang, Xiaoyan Wu, Hongmin Fu, Daqing Sun

    Published 2025-02-01
    “…Transfection efficiency was confirmed via qRT-PCR in HCT116 and SW480 colon cells, and the effects of circDOCK1 on cell proliferation, migration, and invasion were assessed.ResultsMicroarray data revealed 149 significantly differentially expressed circRNAs, including 71 upregulated and 78 downregulated circRNAs, in CRC tissues. …”
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