Showing 21 - 40 results of 2,086 for search '"Microarray"', query time: 0.08s Refine Results
  1. 21

    Correcting for Signal Saturation Errors in the Analysis of Microarray Data by L.-L. Hsiao, R.V. Jensen, T. Yoshida, K.E. Clark, J.E. Blumenstock, S.R. Gullans

    Published 2002-02-01
    “…A variety of technical errors have arisen in data analysis when using cDNA or oligonucleotide microarrays. One of the most insidious problems is the saturation of the hybridization signal of high-abundant transcripts. …”
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    Article
  2. 22

    Fabrication of DNA Microarrays Using Unmodified Oligonucleotide Probes by Douglas Ruben Call, Darrell P. Chandler, Fred Brockman

    Published 2001-02-01
    “…Microarrays printed on glass slides are often constructed by covalently linking oligonucleotide probes to a derivatized surface. …”
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    Article
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    FEATURE SELECTION IN THE TASK OF MEDICAL DIAGNOSTICS ON MICROARRAY DATA by N. G. Zagoruiko, O. A. Kutnenko, I. A. Borisova, V. V. Dyubanov, D. A. Levanov, O. A. Zyranov

    Published 2015-01-01
    “…The high efficiency of the algorithm is illustrated by results of solving the task of disease recognition on a microarray dataset.…”
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    Article
  5. 25

    Development of a new reference standard for microarray experiments by Francesco Gorreta, Dagania Barzaghi, Amy J. VanMeter, Vikas Chandhoke, Luca Del Giacco

    Published 2004-06-01
    “…Often microarray studies require a reference to indirectly compare the samples under observation. …”
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    Article
  6. 26

    Fast Spot Locating for Low-Density DNA Microarray by MinGin Kim, Jongwon Kim, Sun-Hee Kim, Jong-Dae Kim

    Published 2025-03-01
    Subjects: “…low-density DNA microarray…”
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    Article
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    Listen to genes: dealing with microarray data in the frequency domain. by Jianfeng Feng, Dongyun Yi, Ritesh Krishna, Shuixia Guo, Vicky Buchanan-Wollaston

    Published 2009-01-01
    “…<h4>Background</h4>We present a novel and systematic approach to analyze temporal microarray data. The approach includes normalization, clustering and network analysis of genes.…”
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  9. 29

    Photopolymerization as an innovative detection technique for low-density microarrays by Laura R. Kuck, Amber W. Taylor

    Published 2008-08-01
    “…One limitation that accounts in part for the scarcity of commercially available diagnostic microarrays is the expense associated with fluorescence detection. …”
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  10. 30

    Measuring technical variability in illumina DNA methylation microarrays. by Anderson A Butler, Jason J Kras, Karolina P Chwalek, Enrique I Ramos, Isaac J Bishof, David S Vogel, Daniel L Vera

    Published 2025-01-01
    “…DNA methylation microarrays have become a widely used tool for investigating epigenetic modifications in various aspects of biomedical research. …”
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    Monitoring of Representational Difference Analysis Subtraction Procedures by Global Microarrays by T. Andersson, P. Unneberg, P. Nilsson, J. Odeberg, J. Quackenbush, J. Lundeberg

    Published 2002-06-01
    “…We demonstrate how global microarray technology can be used for the exploration of the differentially expressed genes extracted through representational difference analysis (RDA). …”
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    Transfer learning for accelerated failure time model with microarray data by Yan-Bo Pei, Zheng-Yang Yu, Jun-Shan Shen

    Published 2025-03-01
    “…Abstract Background In microarray prognostic studies, researchers aim to identify genes associated with disease progression. …”
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    Article
  18. 38

    Comparison of different probe-level analysis techniques for oligonucleotide microarrays by Barbara Rosati, Frederic Grau, Anneke Kuehler, Samantha Rodriguez, David McKinnon

    Published 2004-02-01
    “…Three different software packages for the probe-level analysis of high-density oligonucleotide microarray data were compared using an experiment-derived data set that was validated using real-time PCR. …”
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    Inflammatory Pathways in Parkinson’s Disease; A BNE Microarray Study by Pascal. F. Durrenberger, Edna Grünblatt, Francesca S. Fernando, Camelia Maria Monoranu, Jordan Evans, Peter Riederer, Richard Reynolds, David T. Dexter

    Published 2012-01-01
    “…The main focus of PD research is to better understand substantia nigra homeostasis disruption, particularly in relation to the wide-spread deposition of the aberrant protein α-synuclein. Microarray technology contributed towards PD research with several studies to date and one gene, ALDH1A1 (Aldehyde dehydrogenase 1 family, member A1), consistently reappeared across studies including the present study, highlighting dopamine (DA) metabolism dysfunction resulting in oxidative stress and most probably leading to neuronal cell death. …”
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