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Showing 121 - 140 results of 321 for search '(( selection microarray ) OR ( selective microarray ))*', query time: 0.11s Refine Results
  1. 121

    Gene expression profiles in Parkinson disease prefrontal cortex implicate FOXO1 and genes under its transcriptional regulation. by Alexandra Dumitriu, Jeanne C Latourelle, Tiffany C Hadzi, Nathan Pankratz, Dan Garza, John P Miller, Jeffery M Vance, Tatiana Foroud, Thomas G Beach, Richard H Myers

    Published 2012-06-01
    “…Single-nucleotide polymorphisms (SNPs) selected from a recent meta-analysis of PD genome-wide association studies (GWAS) were successfully genotyped in 50 out of the 53 microarray brains, allowing a targeted expression-SNP (eSNP) analysis for 52 SNPs associated with PD affection at genome-wide significance and the 189 probes from FoxO1 regulated genes. …”
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  2. 122

    Multiple colonization with S. pneumoniae before and after introduction of the seven-valent conjugated pneumococcal polysaccharide vaccine. by Silvio D Brugger, Pascal Frey, Suzanne Aebi, Jason Hinds, Kathrin Mühlemann

    Published 2010-07-01
    “…Serotypes were identified by agglutination, multiplex PCR and microarray.<h4>Principal findings</h4>Rate of multiple colonization remained stable up to three years after PCV7 introduction. …”
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  3. 123

    R-locus for roaned coat is associated with a tandem duplication in an intronic region of USH2A in dogs and also contributes to Dalmatian spotting. by Takeshi Kawakami, Meghan K Jensen, Andrea Slavney, Petra E Deane, Ausra Milano, Vandana Raghavan, Brett Ford, Erin T Chu, Aaron J Sams, Adam R Boyko

    Published 2021-01-01
    “…We identified a putative causal variant in this region, an 11-kb tandem duplication (11,131,835-11,143,237) characterized by sequence read coverage and discordant reads of whole-genome sequence data, microarray probe intensity data, and a duplication-specific PCR assay. …”
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  4. 124

    Estimation of relevant variables on high-dimensional biological patterns using iterated weighted kernel functions. by Sergio Rojas-Galeano, Emily Hsieh, Dan Agranoff, Sanjeev Krishna, Delmiro Fernandez-Reyes

    Published 2008-03-01
    “…The resulting variable subsets achieved classification accuracies of 99% on Human African Trypanosomiasis, 91% on Tuberculosis, and 91% on Malaria serum proteomic profiles with fewer than 20% of variables selected. Our method scaled-up to dimensionalities of much higher orders of magnitude as shown with gene expression microarray datasets in which we obtained classification accuracies close to 90% with fewer than 1% of the total number of variables.…”
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  5. 125
  6. 126

    High prevalence of multidrug-tolerant bacteria and associated antimicrobial resistance genes isolated from ornamental fish and their carriage water. by David W Verner-Jeffreys, Timothy J Welch, Tamar Schwarz, Michelle J Pond, Martin J Woodward, Sarah J Haig, Georgina S E Rimmer, Edward Roberts, Victoria Morrison, Craig Baker-Austin

    Published 2009-12-01
    “…<h4>Methodology/principal findings</h4>To assess the potential effects of this sustained selection pressure, 127 Aeromonas spp. isolated from warm and cold water ornamental fish species were screened for tolerance to 34 antimicrobials. …”
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  7. 127

    Apoptosis-associated genetic mechanisms in the transition from rheumatoid arthritis to osteoporosis: A bioinformatics and functional analysis approach by Hao-Ju Lo, Chun-Hao Tsai, Tsan-Wen Huang

    Published 2024-12-01
    “…This study explores the mechanisms of glucocorticoid-induced osteoporosis (OP) and Rheumatoid arthritis (RA), focusing on apoptosis and its role in the progression from RA to OP. Using microarray data from the GEO database, differential gene expression analysis was conducted with the limma package, identifying significant genes in RA and OP. …”
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  8. 128

    SMART: unique splitting-while-merging framework for gene clustering. by Rui Fa, David J Roberts, Asoke K Nandi

    Published 2014-01-01
    “…Moreover, two real microarray gene expression datasets are studied using this approach. …”
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  9. 129

    Diagnosis of Coronary Heart Diseases Using Gene Expression Profiling; Stable Coronary Artery Disease, Cardiac Ischemia with and without Myocardial Necrosis. by Nabila Kazmi, Tom R Gaunt

    Published 2016-01-01
    “…Interestingly it also showed efficacy in discriminating myocardial infarction patients from patients with clinical symptoms of cardiac ischemia but no myocardial necrosis or stable coronary artery disease, despite the influence of batch effects and different microarray gene chips and platforms.…”
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  10. 130

    Global gene expression profiling reveals SPINK1 as a potential hepatocellular carcinoma marker. by Aileen Marshall, Margus Lukk, Claudia Kutter, Susan Davies, Graeme Alexander, Duncan T Odom

    Published 2013-01-01
    “…Six genes identified by microarray as highly expressed in HH-HCC were confirmed by RT qPCR. …”
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  11. 131

    Differentially expressed miR-3680-5p is associated with parathyroid hormone regulation in peritoneal dialysis patients. by Sohyun Jeong, Jung Mi Oh, Kook-Hwan Oh, In-Wha Kim

    Published 2017-01-01
    “…Total RNA from 15 patients (7 and 8 patients in the low and high iPTH groups, respectively) underwent miRNA microarray analysis, and three differentially upregulated (>2-fold change) miRNAs previously associated with human disease were selected for real-time quantitative PCR (qPCR) analysis. …”
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  12. 132

    Interpretable graph Kolmogorov–Arnold networks for multi-cancer classification and biomarker identification using multi-omics data by Fadi Alharbi, Nishant Budhiraja, Aleksandar Vakanski, Boyu Zhang, Murtada K. Elbashir, Harshith Guduru, Mohanad Mohammed

    Published 2025-07-01
    “…The proposed approach combines differential gene expression with DESeq2, Linear Models for Microarray (LIMMA), and Least Absolute Shrinkage and Selection Operator (LASSO) regression to reduce multi-omics data dimensionality while preserving relevant biological features. …”
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  13. 133

    MOLECULAR AND GENETIC INSIGHTS OF ROOT-KNOT NEMATODES PATHOGENICITY: A REVIEW by Prabina Bhandari, Anjali Thapa, Anusha Ghimire, Sunil Ojha, Srijana Saud, Sanju Aryal

    Published 2024-04-01
    “…Protein analysis and molecular databases help identify down-regulated and up-regulated genes. Microarray technology can provide large-scale gene expression data on plant-nematode interaction, aiding in understanding nematode selection and feeding site alteration, thereby identifying genes controlling cell differentiation and division. …”
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  14. 134

    Analytic approaches to clinical validation of results from preclinical models of glioblastoma: A systematic review. by Beth Fitt, Grace Loy, Edward Christopher, Paul M Brennan, Michael Tin Chung Poon

    Published 2022-01-01
    “…In 14 studies published between 2017 and 2020 using TCGA RNA microarray data that should have the same cohort, the median number of patients was 464.5 (interquartile range 220.5-525). …”
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  15. 135

    The Necessity of Prenatal Diagnosis by CMA for the Women with NIPS-Positive Results by Jun Xu, Ying Xue, Jing Wang, Qin Zhou, Bin Zhang, Bin Yu, Ting Wang

    Published 2020-01-01
    “…To retrospectively analyze the results of prenatal diagnoses of noninvasive prenatal screening- (NIPS) positive pregnant women and discuss whether there is a need for chromosomal microarray analysis (CMA). Methods. The study recruited 1,019 NIPS-positive women from two prenatal diagnostic centers. …”
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  16. 136

    Downregulation of sorting nexin 10 is associated with overexpression of miR-30d during liver cancer progression in rats by Nancy Cervantes-Anaya, Alberto Ponciano-Gómez, Guadalupe Soledad López-Álvarez, Christian Gonzalez-Reyes, Sergio Hernández-Garcia, María Asunción Cabañas-Cortes, José Efraín Garrido-Guerrero, Saúl Villa-Treviño

    Published 2017-04-01
    “…The identification of molecules that might be molecular markers or therapeutic targets is urgently needed to improve clinical management. Based on a microarray analysis performed in our laboratory, we selected six genes—namely, ANXA2, DYNLT1, PFKP, PLA2G7, KRT19 , and SNX10 —as candidates for validation as tumor markers of liver cancer in a rat model. …”
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  17. 137

    A stratified transcriptomics analysis of polygenic fat and lean mouse adipose tissues identifies novel candidate obesity genes. by Nicholas M Morton, Yvonne B Nelson, Zoi Michailidou, Emma M Di Rollo, Lynne Ramage, Patrick W F Hadoke, Jonathan R Seckl, Lutz Bunger, Simon Horvat, Christopher J Kenyon, Donald R Dunbar

    Published 2011-01-01
    “…Using a stratified transcriptome gene enrichment approach we attempted to identify adipose tissue-specific obesity genes in the unique polygenic Fat (F) mouse strain generated by selective breeding over 60 generations for divergent adiposity from a comparator Lean (L) strain.…”
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  18. 138

    Metabolomic characterisation of the glioblastoma invasive margin reveals a region-specific signature by James Wood, Stuart J. Smith, Marcos Castellanos-Uribe, Anbarasu Lourdusamy, Sean T. May, David A. Barrett, Richard G. Grundy, Dong-Hyun Kim, Ruman Rahman

    Published 2025-01-01
    “…Here, we use liquid chromatography–mass spectrometry and gene expression microarray to profile integrated intratumour metabolic heterogeneity, as a direct functional readout of adaptive responses of subclones to the tumour microenvironment. …”
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  19. 139

    Gene network inference and biochemical assessment delineates GPCR pathways and CREB targets in small intestinal neuroendocrine neoplasia. by Ignat Drozdov, Bernhard Svejda, Bjorn I Gustafsson, Shrikant Mane, Roswitha Pfragner, Mark Kidd, Irvin M Modlin

    Published 2011-01-01
    “…High throughput techniques such as inference of gene regulatory networks from microarray experiments can objectively define signaling machinery in this disease. …”
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  20. 140

    Combined Use of Gene Expression Modeling and siRNA Screening Identifies Genes and Pathways Which Enhance the Activity of Cisplatin When Added at No Effect Levels to Non-Small Cell... by Ada W Y Leung, Stacy S Hung, Ian Backstrom, Daniel Ricaurte, Brian Kwok, Steven Poon, Steven McKinney, Romulo Segovia, Jenna Rawji, Mohammed A Qadir, Samuel Aparicio, Peter C Stirling, Christian Steidl, Marcel B Bally

    Published 2016-01-01
    “…Being exposed to sub-lethal doses will induce changes in gene expression that contribute to the tumour cell's ability to survive and eventually contribute to the selective pressures leading to cisplatin resistance. …”
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