Showing 201 - 220 results of 9,651 for search '"microarray"', query time: 0.11s Refine Results
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    Cross-platform microarray data normalisation for regulatory network inference. by Alina Sîrbu, Heather J Ruskin, Martin Crane

    Published 2010-01-01
    “…BACKGROUND: Inferring Gene Regulatory Networks (GRNs) from time course microarray data suffers from the dimensionality problem created by the short length of available time series compared to the large number of genes in the network. …”
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    Shifting from population-wide to personalized cancer prognosis with microarrays. by Li Shao, Xiaohui Fan, Ningtao Cheng, Leihong Wu, Haoshu Xiong, Hong Fang, Don Ding, Leming Shi, Yiyu Cheng, Weida Tong

    Published 2012-01-01
    “…The era of personalized medicine for cancer therapeutics has taken an important step forward in making accurate prognoses for individual patients with the adoption of high-throughput microarray technology. However, microarray technology in cancer diagnosis or prognosis has been primarily used for the statistical evaluation of patient populations, and thus excludes inter-individual variability and patient-specific predictions. …”
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  7. 207

    Using Semantic Web Technologies to Annotate and Align Microarray Designs by Sebastian Szpakowski, James McCusker, Michael Krauthammer

    Published 2009-01-01
    “…In this paper, we annotate and align two different gene expression microarray designs using the Genomic ELement Ontology (GELO). …”
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    MICB Allele Genotyping on Microarrays by Improving the Specificity of Extension Primers. by In-Cheol Baek, Jung-Pil Jang, Eun-Jeong Choi, Tai-Gyu Kim

    Published 2015-01-01
    “…MICB genotypes that were identified by ASPE on microarrays were in full concordance with those identified by PCR-sequence-based typing. …”
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    Collaborative representation-based classification of microarray gene expression data. by Lizhen Shen, Hua Jiang, Mingfang He, Guoqing Liu

    Published 2017-01-01
    “…Microarray technology is important to simultaneously express multiple genes over a number of time points. …”
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    Optimized LOWESS normalization parameter selection for DNA microarray data by Edgren Henrik, Järvinen Anna-Kaarina, Hautaniemi Sampsa, Berger John A, Mitra Sanjit K, Astola Jaakko

    Published 2004-12-01
    “…<p>Abstract</p> <p>Background</p> <p>Microarray data normalization is an important step for obtaining data that are reliable and usable for subsequent analysis. …”
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    Compatible solutes from hyperthermophiles improve the quality of DNA microarrays by Evangelisti Rita, Liu Chang-Gong, Helmer Citterich Mauro, Arcelli Diego, Taccioli Cristian, Valentini Davide, Marchesini Jlenia, Rossi Simona, Liu Xiuping, Mascellani Nicoletta, Russo Giandomenico, Santos Jorge M, Croce Carlo M, Volinia Stefano

    Published 2007-11-01
    “…<p>Abstract</p> <p>Background</p> <p>DNA microarrays are among the most widely used technical platforms for DNA and RNA studies, and issues related to microarrays sensitivity and specificity are therefore of general importance in life sciences. …”
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    Whole genome microarray analysis, from neonatal blood cards by Hogan Michael E, Wong David, Finnell Richard H, Hardin Jill, Horovitz Joy, Shu Jenny, Shaw Gary M

    Published 2009-07-01
    “…That amplified DNA product was then used in microarray analysis and yielded statistical concordance of 99% or greater to the primary, unamplified DNA sample.…”
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