Showing 8,361 - 8,380 results of 9,651 for search '"microarray"', query time: 0.13s Refine Results
  1. 8361

    Signature-tagged mutagenesis: barcoding mutants for genome-wide screens. by Mazurkiewicz, P, Tang, C, Boone, C, Holden, D

    Published 2006
    “…By combining whole-genome microarrays and comprehensive ordered libraries of mutants, high-throughput functional screens can now be achieved on a genomic scale.…”
    Journal article
  2. 8362

    Understanding non-coding DNA regions in yeast. by Schlackow, M, Gullerova, M

    Published 2013
    “…In the present review, we discuss advantages and limitations of recently developed sequencing techniques, such as ESTs, DNA microarrays, RNA-Seq (RNA sequencing), DRS (direct RNA sequencing) and TIF-Seq (transcript isoform sequencing). …”
    Journal article
  3. 8363

    Altered expression of glycan patterns and glycan-related genes in the medial prefrontal cortex of the valproic acid rat model of autism by Yingxun Liu, Yingxun Liu, Yingxun Liu, Yuanyuan Di, Qi Zheng, Zhaoqiang Qian, Juan Fan, Juan Fan, Wei Ren, Zhaoming Wei, Zhaoming Wei, Yingfang Tian, Yingfang Tian

    Published 2022-12-01
    “…Following confirmation of reduced sociability and increased self-grooming behaviors in VPA-treated offspring, we analyzed the alterations in the expression profile of glycan patterns and glycan-related genes by lectin microarrays and RNA-seq, respectively. Lectin microarrays detected 14 significantly regulated lectins in VPA rats, with an up-regulation of high-mannose with antennary and down-regulation of Siaα2-3 Gal/GalNAc. …”
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    Article
  4. 8364

    DOG1 as a novel antibody-drug conjugate target for the treatment of multiple gastrointestinal tumors and liver metastasis by Yangping Wu, Wenting Li, Xiangzheng Chen, Haichuan Wang, Siyuan Su, Ying Xu, Xiangbing Deng, Tinghan Yang, Mingtian Wei, Li Li, Yixin Liu, Jinliang Yang, Weimin Li

    Published 2023-01-01
    “…The DOG1 expression profile was determined among TCGA samples and tissue microarrays. High levels of DOG1 expression were ubiquitously observed in multiple cancer samples from the alimentary tract determined by TCGA samples and tissue microarrays. …”
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    Article
  5. 8365
  6. 8366

    Multiple-model machine learning identifies potential functional genes in dilated cardiomyopathy by Lin Zhang, Yexiang Lin, Kaiyue Wang, Lifeng Han, Xue Zhang, Xiumei Gao, Zheng Li, Houliang Zhang, Jiashun Zhou, Heshui Yu, Xuebin Fu, Xuebin Fu

    Published 2023-01-01
    “…We aim to develop a novel overall normalized sum weight of multiple-model MLs to assess the diagnosing value in DCM.MethodsGene expression data were selected from previously published databases (six sets of eligible microarrays, 386 samples) with eligible criteria. Two sets of microarrays were used as training; the others were studied in the testing sets (ratio 5:1). …”
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    Article
  7. 8367

    An application of the Shapley value to the analysis of co-expression networks by Giulia Cesari, Encarnación Algaba, Stefano Moretti, Juan A. Nepomuceno

    Published 2018-08-01
    “…An application of the method to the analysis of gene expression data from microarrays is presented, as well as a comparison with classical centrality indices. …”
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    Article
  8. 8368

    The Critical Role of Pharmacists in the Clinical Delivery of Pharmacogenetics in the U.S by Susanne B. Haga

    Published 2023-09-01
    “…Since the rebirth of pharmacogenomics (PGx) in the 1990s and 2000s, with new discoveries of genetic variation underlying adverse drug response and new analytical technologies such as sequencing and microarrays, there has been much interest in the clinical application of PGx testing. …”
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    Article
  9. 8369

    Application of personalised medicine to solid tumours: opportunities and challenges by Christian Ruiz, Markus Tolnay, Lukas Bubendorf

    Published 2012-06-01
    “…The technological advances in the last few years, such as the development of high resolution DNA microarrays or second generation sequencers, have led to a dramatic increase in the number of ongoing genomic profiling studies. …”
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    Article
  10. 8370

    Bioinformatics analysis of estrogen-responsive genes by Handel, A

    Published 2016
    “…Identification of estrogen target genes is greatly facilitated by the use of transcriptomic methods, such as RNA-seq and expression microarrays, and chromatin immunoprecipitation with massively parallel sequencing (ChIP-seq). …”
    Journal article
  11. 8371

    Ovarian Transcriptomic Analysis Reveals Differential Expression Genes Associated with Cell Death Process after Selection for Ovulation Rate in Rabbits by Marta Serna-García, Rosa Peiró, Eva Serna, María Antonia Santacreu

    Published 2020-10-01
    “…A transcriptomic study was performed, using microarrays, in ovarian tissue from females belonging to the selected line and the control line. …”
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    Article
  12. 8372

    The Innate Immune-Related Genes in Catfish by Weidong Liu, Xianggang Gao, Yunfeng Li, Hao Su, Xueguang Liu, Chongbo He, Lei Gao

    Published 2012-11-01
    “…This review summarizes the current understanding of innate immune-related genes in catfish, including pattern recognition receptors, antimicrobial peptides, complements, lectins, cytokines, transferrin and gene expression profiling using microarrays and next generation sequencing technologies. …”
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    Article
  13. 8373

    Approach to Thrombophilia in Pregnancy—A Narrative Review by Miruna Samfireag, Cristina Potre, Ovidiu Potre, Raluca Tudor, Teodora Hoinoiu, Andrei Anghel

    Published 2022-05-01
    “…Genetic testing for thrombophilic gene mutations is evaluated using different methodologies of real-time polymerase chain reaction and DNA microarrays of specific genes. Adapting the general care of the pregnant woman to the particularities caused by thrombophilia is an important component, so screening is preferred to assess the degree of genetic damage that manifests itself as a risk of thrombosis. …”
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    Article
  14. 8374

    Feature selection in bioinformatics by Wang, Lipo.

    Published 2013
    “…For example, there are millions of single nucleotide polymorphisms (SNPs) that are genetic variations which determine the dierence between any two unrelated individuals. In microarrays, thousands of genes can be proled in each test. …”
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    Conference Paper
  15. 8375

    Long non-coding RNA-SNHG7 acts as a target of miR-34a to increase GALNT7 level and regulate PI3K/Akt/mTOR pathway in colorectal cancer progression by Yang Li, Changqian Zeng, Jialei Hu, Yue Pan, Yujia Shan, Bing Liu, Li Jia

    Published 2018-07-01
    “…Results SNHG7 expression showed a high fold (SW620/SW480) in CRC microarrays. The CRC patients with high expression of SNHG7 had a significantly poor prognosis. …”
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    Article
  16. 8376

    Programmed Death Ligand 1 (PD-L1) Expression in Malignant Mesenchymal Tumors by Kemal KÖSEMEHMETOĞLU, Ece ÖZOĞUL, Berrin BABAOĞLU, Gaye GÜLER TEZEL, Gökhan GEDİKOĞLU

    Published 2017-09-01
    “…Material and Method: Tissue microarrays of 3-4 mm diameter were composed from paraffin blocks of 222 various sarcomas. …”
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    Article
  17. 8377
  18. 8378

    Synergies of Radiomics and Transcriptomics in Lung Cancer Diagnosis: A Pilot Study by Aikaterini Dovrou, Ekaterini Bei, Stelios Sfakianakis, Kostas Marias, Nickolas Papanikolaou, Michalis Zervakis

    Published 2023-02-01
    “…For each patient, 749 Computed Tomography (CT) radiomic features were extracted and the corresponding transcriptomics data were provided through DNA microarrays. The radiomic features were clustered using the iterative K-means algorithm resulting in 77 homogeneous clusters, represented by meta-radiomic features. …”
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    Article
  19. 8379

    Identification of the miRNAome in human fracture callus and nonunion tissues by Michael Hadjiargyrou, Leonidas Salichos, Peter Kloen

    Published 2023-03-01
    “…Also, miRNAs were isolated and screened using microarrays followed by bioinformatic analyses, including, differential expression, pathways and biological processes, as well as elucidation of target genes. …”
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    Article
  20. 8380

    PD-L1 expression on stromal tumor-infiltrating lymphocytes is a favorable prognostic factor in ovarian serous carcinoma by Ki Hyung Kim, Kyung Un Choi, Ahrong Kim, So Jung Lee, Jung Hee Lee, Dong Soo Suh, Byung-su Kwon, Chungsu Hwang

    Published 2019-06-01
    “…Methods Tissue microarrays were constructed from ovarian epithelial cancer tissues of 248 patients and PD-L1 immunostaining was performed using the SP263 clone. …”
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    Article