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Showing 41 - 60 results of 326 for search '(( executive microarray ) OR ((( selective microarray ) OR ( selection microarray ))))', query time: 0.15s Refine Results
  1. 41

    IDENTIFYING IMPORTANT GENES IN OVARIAN CANCER FROM HIGH-DIMENSIONAL MICROARRAY DATA USING SIFS-CART METHOD by Ni Kadek Emik Sapitri, Umu Sa'adah, Nur Shofianah

    Published 2024-07-01
    “…Ovarian cancer can be identified from microarray data using machine learning. Many studies only focus on improving the machine learning classification algorithms to achieve higher performance. …”
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    Article
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    Silver coated porous silicon microarray SERS platform for detecting aflatoxin B1 fumonisin B1 and ochratoxin A by Rohit Kumar Singh, Narsingh R. Nirala, Sudharsan Sadhasivam, Divagar Muthukumar, Edward Sionov, Giorgi Shtenberg

    Published 2025-08-01
    “…Herein, we present a newly developed nanostructured microarray based on silver-coated porous silicon (Ag-pSi) used as a surface-enhanced Raman scattering (SERS) transducer. …”
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  4. 44

    Multiplex peptide microarray profiling of antibody reactivity against neglected tropical diseases derived B-cell epitopes for serodiagnosis in Zimbabwe. by Arthur Vengesai, Thajasvarie Naicker, Herald Midzi, Maritha Kasambala, Tariro L Mduluza-Jokonya, Simbarashe Rusakaniko, Francisca Mutapi, Takafira Mduluza

    Published 2022-01-01
    “…In this framework, we present a pilot study to design and produce a peptide microarray for the integrated surveillance of neglected tropical diseases. …”
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    Microarray analysis of LTR retrotransposon silencing identifies Hdac1 as a regulator of retrotransposon expression in mouse embryonic stem cells. by Judith Reichmann, James H Crichton, Monika J Madej, Mary Taggart, Philippe Gautier, Jose Luis Garcia-Perez, Richard R Meehan, Ian R Adams

    Published 2012-01-01
    “…Here we show, and experimentally verify, that cryptic repetitive element probes present in Illumina and Affymetrix gene expression microarray platforms can accurately and sensitively monitor repetitive element expression data. …”
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  7. 47

    Effective detection of 148 cases chromosomal mosaicism by karyotyping, chromosomal microarray analysis and QF-PCR in 32,967 prenatal diagnoses by Yi Deng, Lan Zeng, Zhiling Wu, Jin Wang, Mengling Ye, Chun Chen, Ping Wei, Danni Wang, Guangming Deng, Shuyao Zhu

    Published 2025-04-01
    “…Methods A total of 148 fetuses diagnosed with chromosomal mosaicism by karyotyping with copy number variant sequencing (CNV-seq)/ chromosomal microarray analysis (CMA) and quantitative fluorescent polymerase chain reaction (QF-PCR) were selected, and the results from three the methods were compared and further analyzed. …”
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    Candidate Anxiety‐Related Genes in the Hippocampus of Hatano Male Rats: Anxiolytic Action of Neuromedin U in the Hippocampus by Kaito Sato, Atsuhiro Ishii, Shohei Kobayashi, Taichi Hatakeyama, Gen Watanabe, Tomoko Soga, Ishwar Parhar, Takashi Matsuwaki, Shogo Moriya, Ryo Ohta, Shuichi Chiba, Maiko Kawaguchi

    Published 2025-06-01
    “…The present study focuses on the hippocampus, which is associated with anxiety‐like behavior, and used microarray analysis and RT‐qPCR to select genes with differential expression in the hippocampus between HAA and LAA (Experiment 1). …”
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    GPC3 as a potential diagnostic and prognostic marker for lung adenocarcinoma by Wei-qin Wu, Qing-song Sun, Li-li Gao, Ya-juan Jia, Hong-mei Zhao, Hong Sun, Xiang Han

    Published 2024-12-01
    “…Four gene expression profiles were downloaded from GEO and merged into a training cohort, and those genes that were differentially expressed between LUAD and normal samples were selected. We performed LASSO regression, SVM-RFE, and ROC curve analyses, and external validations were conducted using the GSE115002 dataset, TCGA + GTEx datasets, and tissue microarrays (TMAs) of 56 patients with LUAD from our hospital. …”
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    The Comparison of Three Measures in Feature Selection by SONG Zhi-chao, KANG Jian, SUN Guang-lu, HE Yong-jun

    Published 2018-02-01
    “…Three representative linear or nonlinear measures,linear correlation coefficient,symmetrical uncertainty,and mutual information are selected. By combining them with the fast correlation-based filter ( FCBF) feature selection method,we make the comparison of selected feature subset from 8 gene microarray and image datasets. …”
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    Differential gene expression analysis in patients with primary hyperhidrosis by Ting Pu, Muhammad Ameen Jamal, Muhammad Nauman Tahir, Salman Ullah, Maher Un Nisa Awan, Asif Shahzad, Faisal Mahmood

    Published 2025-02-01
    “…Based on the highest expression of ITPR2 in hyperhidrosis, it was selected for PCR amplification as well as sequencing. …”
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