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Microarray technologies for analysis of genetic determinants of <i>Neisseria gonorrhoeae</i> antimicrobial resistance
Published 2025-03-01“…Conclusion. Microarray technologies for detecting antimicrobial resistance genetic determinants in N. gonorrhoeae serve as a complementary tool for identifying resistant strains. …”
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102
Genetic Evaluation of Early Pregnancy Loss by Chromosomal Microarray Analysis: A Retrospective Analysis
Published 2025-07-01“…This retrospective cohort study utilizes chromosomal microarray analysis (CMA) to systematically investigate chromosomal abnormalities associated with early pregnancy loss. …”
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103
THE VALIDATION OF THE RESULTS OF MICROARRAY STUDIES OF ASSOCIATION BETWEEN GENE POLYMORPHISMS AND THE FREQUENCY OF RADIATION EXPOSURE MARKERS
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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104
Themis2/ICB1 is a signaling scaffold that selectively regulates macrophage Toll-like receptor signaling and cytokine production.
Published 2010-07-01“…<h4>Background</h4>Thymocyte expressed molecule involved in selection 1 (Themis1, SwissProt accession number Q8BGW0) is the recently characterised founder member of a novel family of proteins. …”
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The use of chromosomal microarray analysis for diagnostics of chromosomal pathology in fetal central nervous system malformations
Published 2020-10-01“…There were enrolled 42 pregnant women underwent invasive prenatal diagnostics in 2013–2019 due to ultrasound detection of congenital CNS defect in fetus. Fetal samples were studied by using chromosome microarray analysis (CMA).Results. …”
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106
Circular RNA microarray expression profile and potential function of circDOCK1 in colorectal cancer
Published 2025-02-01“…Therefore, there exists a critical need to identify novel markers facilitating early CRC detection and prognosis. Circular RNAs (circRNAs) hold promise as novel clinical diagnostic markers. …”
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107
Machine learning identification of molecular targets for medulloblastoma subgroups using microarray gene fingerprint analysis
Published 2025-01-01“…An artificial neural network (ANN) model trained on microarray gene expression data determined minimal gene combinations for each subgroup. …”
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108
Discovery of possible gene relationships through the application of self-organizing maps to DNA microarray databases.
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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109
Molecular sub-classification of renal epithelial tumors using meta-analysis of gene expression microarrays.
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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110
SNP Microarray in FISH Negative Clinically Suspected 22q11.2 Microdeletion Syndrome
Published 2016-01-01“…Clinically suspected specific deletions (22q11.2) were detectable in approximately 8% of cases by SNP microarray, mostly from FISH noninformative cases. …”
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111
Distinct antibody responses of patients with mild and severe leptospirosis determined by whole proteome microarray analysis.
Published 2017-01-01“…<h4>Methods and principal findings</h4>Here, we used protein microarray chip to profile the antibody responses of patients with severe and mild leptospirosis against the complete Leptospira interrogans serovar Copenhageni predicted ORFeome. …”
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112
Deep Residual Transfer Ensemble Model for mRNA Gene-Expression-Based Breast Cancer
Published 2025-01-01Subjects: “…Breast cancer detection…”
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113
Deconvolution of expression microarray data reveals 131I-induced responses otherwise undetected in thyroid tissue.
Published 2018-01-01“…In this study, we deconvolved microarray data from thyroid tissue in order to assess possible bias from mixed cell type data. …”
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Utility of whole exome sequencing in the evaluation of isolated fetal growth restriction in normal chromosomal microarray analysis
Published 2025-12-01“…Objective To investigate the application of whole exome sequencing (WES) in the prenatal diagnosis of isolated fetal growth restriction (FGR) with a normal result by chromosomal microarray analysis (CMA).Methods This retrospective study included singleton fetuses with isolated FGR in Guangdong Women and Children Hospital between July 2018 and August 2023. …”
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116
Carbohydrate Microarrays Identify Blood Group Precursor Cryptic Epitopes as Potential Immunological Targets of Breast Cancer
Published 2015-01-01“…Using carbohydrate microarrays, we explored potential natural ligands of antitumor monoclonal antibody HAE3. …”
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Systematic spatial bias in DNA microarray hybridization is caused by probe spot position-dependent variability in lateral diffusion.
Published 2011-01-01“…Numerical simulations reveal a strong influence of microarray well geometry on the spatial bias.<h4>Conclusions</h4>Reciprocal adjustment of the size of the microarray hybridization chamber to the area of surface-bound probes is a simple and effective measure to minimize or eliminate the diffusion-based bias, resulting in increased uniformity and accuracy of quantitative DNA microarray hybridization.…”
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Genetic findings of children with congenital heart diseases using chromosomal microarray and trio-based whole exome sequencing
Published 2025-07-01“…In individuals with extracardiac features, the overall detection rate was significantly higher (61.5%) than in individuals with isolated CHD (17.3%) (P = 4.6 × 10− 3). …”
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