Search alternatives:
selective » selection (Expand Search)
Showing 61 - 80 results of 1,096 for search '(( effective microarray ) OR ( (detection OR selective) microarray ))', query time: 0.20s Refine Results
  1. 61

    Genetic etiology and pregnancy outcomes of fetal hyperechoic kidneys: a retrospective analysis by Meiying Cai, Na Lin, Ziheng Xiao, Ziheng Xiao, Hailong Huang, Lin Zheng, Liangpu Xu

    Published 2025-08-01
    “…Chromosome karyotyping and chromosomal microarray analysis (CMA) were performed on fetuses displaying this phenotype on prenatal ultrasound. …”
    Get full text
    Article
  2. 62

    Analysis of a Series of 26 Cases With Prenatal Skeletal Dysplasia via Multiplatform Genetic Detection by Li‐min Cui, Hua‐ying Hu, Xiao‐mei Zhai, Ming‐fei Qi, Yan‐ming Liu, Cong‐ying Han, Jing Zhang, Ming Shen, Yu‐lan Xiang, Wen‐qi Chen, Kai Yang, Dong‐liang Zhang, Huan‐xia Xing

    Published 2025-01-01
    “…Materials and Methods In this study, we recruited 26 cases of SD and analyzed them with a designed sequential genetic detection. Chromosome karyotyping, microarray analysis (CMA), and whole exome sequencing (WES) techniques are performed as needed. …”
    Get full text
    Article
  3. 63
  4. 64
  5. 65

    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.…”
    Get full text
    Article
  6. 66
  7. 67
  8. 68
  9. 69

    Application of chromosome microarray analysis and karyotyping in fetal cardiac abnormalities by Yun Guo, Xiaoqin Xin, Linju Zhou, Jungao Huang

    Published 2025-06-01
    “…Chromosome microarray analysis detected abnormalities in 6.58% (5/76) of the isolated cardiac abnormalities group and 27.27% (6/22) in the group with combined abnormalities, showing a significant statistical difference (P &lt; 0.05). …”
    Get full text
    Article
  10. 70
  11. 71

    A universal DNA microarray for rapid fish species authentication by Patrizia Bade, Sebastian Stix, Kristina Kappel, Jan Fritsche, Ilka Haase, Andrew Torda, Nils Wax, Markus Fischer, Dirk Brandis, Ute Schröder

    Published 2025-06-01
    “…DNA microarrays are now used in fields such as gene expression analysis, pathogen/virus detection and identification of biomarkers. …”
    Get full text
    Article
  12. 72

    Cell-binding microarray application in diagnosis of hairy cell leukemia by A. N. Khvastunova, L. S. Al-Radi, N. M. Kapranov, O. S. Fedyanina, L. A. Gorgidze, S. A. Lugovskaya, E. V. Naumova, U. L. Dzhulakyan, A. V. Filatov, F. I. Ataullakhanov, S. A. Kuznetsova

    Published 2015-06-01
    “…We describe an application of a cell-binding microarray – to parallel study of morphology, tartrate-resistant acid phosphatase activity and detection of surface markers on peripheral blood lymphocytes of 90  atients with suspected hairy cell leukemia (HCL). …”
    Get full text
    Article
  13. 73

    Phenotype microarray-based assessment of metabolic variability in plant protoplasts by Alice Checcucci, Francesca Decorosi, Giulia Alfreducci, Roberto Natale, Agnese Bellabarba, Stefano Biricolti, Donatella Paffetti, Alessio Mengoni, Carlo Viti

    Published 2025-05-01
    “…Conclusions The standardized high-throughput system developed was effective for the metabolic characterization of plant protoplasts. …”
    Get full text
    Article
  14. 74

    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
    “…The compromise between focusing on only the important genes in certain cellular processes and achieving a complete picture is critical for the selection of strategy. We demonstrate how global microarray technology can be used for the exploration of the differentially expressed genes extracted through representational difference analysis (RDA). …”
    Get full text
    Article
  15. 75

    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. …”
    Get full text
    Article
  16. 76

    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. …”
    Get full text
    Article
  17. 77

    Application of Chromosome Microarray in Diagnosis of Amniotic Fluid in Older Pregnant Women by Guangting Lu, Weiwu Liu, Chao Ou

    Published 2023-07-01
    “…Background: To improve the detection rate of chromosome abnormalities in fetuses and to reduce the birth defects rate in elderly pregnant women using chromosome karyotype analysis combined with the chromosome microarray analysis (CMA) technique. …”
    Get full text
    Article
  18. 78

    Consensus PCR and Microarray for Diagnosis of the Genus Staphylococcus, Species, and Methicillin Resistance by S. Hamels, J.-L. Gala, S. Dufour, P. Vannuffel, N. Zammatteo, J. Remacle

    Published 2001-12-01
    “…Products were then identified on a glass array. The microarray contained five selective DNA capture probes for the simultaneous and differential identification of the five most clinically relevant staphylococcal species (S. aureus, S. epidermidis, S. haemolyticus, S. hominis, and S. saprophyticus), while a consensus capture probe could detect all femAsequences, allowing the identification of the genus Staphylococcus. …”
    Get full text
    Article
  19. 79

    Implementation of NGS and SNP microarrays in routine forensic practice: opportunities and barriers by Sharlize Pedroza Matute, Sasitaran Iyavoo

    Published 2025-05-01
    “…NGS enables STR sequencing and SNP typing with enhanced discriminatory power, better performance with degraded DNA, and improved mixture deconvolution. Conversely, SNP microarrays offer a cost-effective solution for extended kinship testing, Forensic Investigative Genetic Genealogy (FIGG), and phenotypic prediction, though they are less effective with low-quality samples and DNA mixtures. …”
    Get full text
    Article
  20. 80