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Showing 261 - 280 results of 814 for search '(( effective microarray ) OR ( (selection OR selective) microarray ))', query time: 0.15s Refine Results
  1. 261

    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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  2. 262

    Cystatin B Promotes the Proliferation, Migration, and Invasion of Intrahepatic Cholangiocarcinoma by Dai Zhang, Bao-Ye Sun, Jing-Fang Wu, Zhu-Tao Wang, Su-Su Zheng, Guo-Qiang Sun, Xu-Kang Gao, Jian Zhou, Jia Fan, Bo Hu, Shuang-Jian Qiu, Bo-Heng Zhang

    Published 2025-01-01
    “…The clinical significance of CSTB was analyzed through immunohistochemical staining of a tissue microarray. Subsequently, the biological effects of CSTB overexpression or knockdown on iCCA cells were evaluated in vitro and in vivo. …”
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    Article
  3. 263

    Integrative analysis of T cell-mediated tumor killing-related genes reveals KIF11 as a novel therapeutic target in esophageal squamous cell carcinoma by Xinxin Cheng, Huihui Zhao, Zhangwang Li, Liping Yan, Qingjie Min, Qingnan Wu, Qimin Zhan

    Published 2025-02-01
    “…Abstract Background Immune checkpoint inhibitors (ICIs) are emerging promising agents for the treatment of patients with esophageal squamous cell carcinoma (ESCC), however, there are only a small proportion respond to ICI therapy. Therefore, selecting candidate patients who will benefit the most from these drugs is critical. …”
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    Article
  4. 264

    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
    “…Machine learning methods, including Lasso and Random Forest, refined the selection of key genes related to apoptosis. Immune infiltration analysis using CIBERSORT assessed immune cell differences between disease and normal samples. …”
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    Article
  5. 265

    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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    Article
  6. 266

    Integrative Analysis of Clinical and Bioinformatics Databases to Reveal the Role of Peripheral Innate Immunity in Kawasaki Disease by Hongjun Ba, Lili Zhang, Huimin Peng, Jixun Lin, Youzhen Qin, Yao Wang

    Published 2023-01-01
    “…In this study, we analyzed public single-cell RNA sequencing (scRNA-seq) and microarray data of peripheral blood mononuclear cells from normal controls and KD patients. …”
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    Article
  7. 267

    Transcription Analysis of the Myometrium of Labouring and Non-Labouring Women. by Gemma C Sharp, James L Hutchinson, Nanette Hibbert, Tom C Freeman, Philippa T K Saunders, Jane E Norman

    Published 2016-01-01
    “…Appropriate analysis of large microarray experiments that compare gene expression in non-labouring and labouring gestational tissues is necessary to help bridge these gaps in our knowledge. …”
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    Article
  8. 268

    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
    “…Isocitrate dehydrogenase wild-type glioblastoma (GBM) is characterised by a heterogeneous genetic landscape resulting from dynamic competition between tumour subclones to survive selective pressures. Improvements in metabolite identification and metabolome coverage have led to increased interest in clinically relevant applications of metabolomics. …”
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  9. 269

    Unravelling the Impact of an Additional Sex Chromosome in an Adult Female by Sigin George, Vikas Dagar, Barun Kumar Chakrabarty, N. Nagaraja

    Published 2023-04-01
    “…Interphase fluorescence in situ hybridisation was performed to confirm the diagnosis. Chromosomal microarray, which is a more expensive test, substantiated the presence of additional X chromosomes but failed to detect the presence of low level of mosaicism. …”
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    Article
  10. 270

    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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    Article
  11. 271

    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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    Article
  12. 272

    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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  13. 273

    Development and validation of a Luminex assay for detection of a predictive biomarker for PROSTVAC-VF therapy. by Julie L Lucas, Erin A Tacheny, Allison Ferris, Michelle Galusha, Apurva K Srivastava, Aniruddha Ganguly, P Mickey Williams, Michael C Sachs, Magdalena Thurin, James V Tricoli, Winnie Ricker, Jeffrey C Gildersleeve

    Published 2017-01-01
    “…Strategies to identify patients likely to respond well to a given therapy could significantly improve health care outcomes by maximizing clinical benefits while reducing toxicities and adverse effects. Using a glycan microarray assay, we recently reported that pretreatment serum levels of IgM specific to blood group A trisaccharide (BG-Atri) correlate positively with overall survival of cancer patients on PROSTVAC-VF therapy. …”
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  14. 274

    Identification and Validation of a Potential Marker of Tissue Quality Using Gene Expression Analysis of Human Colorectal Tissue. by Nicole Lange, Florian T Unger, Monika Schöppler, Katja Pursche, Hartmut Juhl, Kerstin A David

    Published 2015-01-01
    “…Normal colorectal tissue and CRC tissue was analyzed using microarray and quantitative real-time PCR (qPCR). Comparing changes in gene expression between pre- and post-surgical tissue using microarray analysis identified a list of potential tissue quality biomarkers and this list was validated using qPCR. …”
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  15. 275

    Renal tissue thawed for 30 minutes is still suitable for gene expression analysis. by Yi Ma, Xiao-Nan Kang, Wen-Bin Ding, Hao-Zheng Yang, Ye Wang, Jin Zhang, Yi-Ran Huang, Hui-Li Dai

    Published 2014-01-01
    “…We aim to evaluate the effects of thawing at room temperature for different time periods on gene expression analysis. …”
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  16. 276

    AgileMultiIdeogram: Rapid Identification and Visualization of Autozygous Regions Using Illumina Short-Read Sequencing Data by Christopher M. Watson, Carolina Lascelles, Morag Raynor, Marilena Elpidorou, Ummey Hany, Laura Crinnion, Colin A. Johnson, Eamonn Sheridan, Alexander F. Markham, James A. Poulter, David T. Bonthron, Ian M. Carr

    Published 2025-06-01
    “…A well-established and effective way of identifying these “autozygous” genomic regions has been to search for runs of homozygous genotypes in microarray SNP data. …”
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  17. 277

    Genome-wide analysis of m6A-modified circRNAs in the mouse model of myocardial injury induced by obstructive sleep apnea by Jiuhuang Lan, Yuhui Wang, Chang Liu, Hongli Chen, Qingshi Chen

    Published 2025-04-01
    “…Methods Firstly, the expression profiles of m6A-modified circRNA in left ventricular tissue of the CIH mouse model were examined using circRNA microarray analysis. Then, the expression level of selected circrRNA was compared by folding change filtration, and the consistency between them and microarray results was verified by MeRIP-qPCR. …”
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  18. 278

    SLEPR: a sample-level enrichment-based pathway ranking method -- seeking biological themes through pathway-level consistency. by Ming Yi, Robert M Stephens

    Published 2008-09-01
    “…Analysis of microarray and other high throughput data often involves identification of genes consistently up or down-regulated across samples as the first step in extraction of biological meaning. …”
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  19. 279

    The absolute number of T lymphocyte subsets is beneficial for differential diagnosis of myelodysplastic syndrome with pure red cell aplastic anemia: a case report and review of the... by Liangjun Zhang, Huixiu Zhong

    Published 2025-04-01
    “…The result of the morphological examination of bone marrow, whole-genome microarray, and bone marrow biopsy all supported the diagnosis of MDS at the first clinical diagnosis. …”
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    Article
  20. 280

    Exploration of the shared pathways and common biomarkers in cervical and ovarian cancer using integrated bioinformatics analysis by Fang Liu, Min Wang, Tian Zhu, Cong Xu, Guangming Wang

    Published 2024-12-01
    “…Next, the least absolute shrinkage and selection operator (LASSO) with tenfold cross validation is used to further screened for common diagnostic biomarkers for the two diseases, and further validation is performed using two independent GEO datasets. …”
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    Article