THE VALIDATION OF THE RESULTS OF MICROARRAY STUDIES OF ASSOCIATION BETWEEN GENE POLYMORPHISMS AND THE FREQUENCY OF RADIATION EXPOSURE MARKERS by M. V. Khalyuzova, N. V. Litvyakov, A. E. Sazonov, Ye. N. Albakh, D. S. Isubakova, A. B. Karpov, R. M. Takhauov

“…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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Discovery of possible gene relationships through the application of self-organizing maps to DNA microarray databases. by Rocio Chavez-Alvarez, Arturo Chavoya, Andres Mendez-Vazquez

“…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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Molecular sub-classification of renal epithelial tumors using meta-analysis of gene expression microarrays. by Thomas Sanford, Paul H Chung, Ariel Reinish, Vladimir Valera, Ramaprasad Srinivasan, W Marston Linehan, Gennady Bratslavsky

“…<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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Using effective subnetworks to predict selected properties of gene networks. by Gemunu H Gunaratne, Preethi H Gunaratne, Lars Seemann, Andrei Török

“…Steady state measurements of these influence networks can be obtained from DNA microarray experiments. However, since they contain a large number of nodes, the computation of influence networks requires a prohibitively large set of microarray experiments. …”
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High-throughput screening of monoclonal antibodies against carbapenemases using a multiplex protein microarray platform by Sascha D. Braun, Sascha D. Braun, Martin Reinicke, Martin Reinicke, Celia Diezel, Celia Diezel, Elke Müller, Elke Müller, Katrin Frankenfeld, Thomas Schumacher, Hugo Arends, Stefan Monecke, Stefan Monecke, Ralf Ehricht, Ralf Ehricht, Ralf Ehricht

“…The array allowed simultaneous mapping of cross-reactivity, a key advantage over conventional ELISA workflows.DiscussionOur findings confirm that protein-based microarrays offer a robust, efficient platform for antibody pair selection, reducing reagent use while accelerating assay development. …”
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Possibility of the Use of Public Microarray Database for Identifying Significant Genes Associated with Oral Squamous Cell Carcinoma by Ki-Yeol Kim, In-Ho Cha

“…This study combined two small microarray datasets from a public database and identified significant genes associated with the progress of oral squamous cell carcinoma. …”
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Carbohydrate Microarrays Identify Blood Group Precursor Cryptic Epitopes as Potential Immunological Targets of Breast Cancer by Denong Wang, Jin Tang, Shaoyi Liu, Jiaoti Huang

“…Using carbohydrate microarrays, we explored potential natural ligands of antitumor monoclonal antibody HAE3. …”
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Gene markers of fracture healing in early stage and the regulatory mechanism during the process using microarray analysis by Chengxue Wang, Baochang Qi, Lei Tan, Jieping Cheng

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Combining gene expression microarrays and Mendelian randomization: exploring key immune-related genes in multiple sclerosis by Shuangfeng Ding, Yunyun Zhang, Yunzhe Tang, Ying Zhang, Mingyuan Liu

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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

“…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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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

“…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-Based Comparisons of Ion Channel Expression Patterns: Human Keratinocytes to Reprogrammed hiPSCs to Differentiated Neuronal and Cardiac Progeny by Leonhard Linta, Marianne Stockmann, Qiong Lin, André Lechel, Christian Proepper, Tobias M. Boeckers, Alexander Kleger, Stefan Liebau

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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

“…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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Sequential transcriptome profiling: comparative analysis of normal and canine lymphoma preceding detailed T-cell and B-cell subtype comparison by Yeji Kim, Yeji Kim, Jihyun Kim, Jihyun Kim, Yunji Song, Yunji Song, Keunhwan Jang, Se Eun Kim, Se Eun Kim, Se Eun Kim, Ha-Jung Kim, Ha-Jung Kim

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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

“…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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Genetic Comparison and Selection of Reproductive and Growth-Related Traits in Qinchuan Cattle and Two Belgian Cattle Breeds by Xiaopeng Li, Peng Niu, Xueyan Wang, Fei Huang, Jieru Wang, Huimin Qu, Chunmei Han, Qinghua Gao

“…A total of 270 Belgian cattle (91 BR and 179 BWR) and 286 Qinchuan cattle were genotyped using the Illumina Bovine SNP 50K microarray. Data analysis was conducted using PLINK and Beagle 5.1 to estimate linkage disequilibrium (LD) and effective population size (Ne). …”
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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

“…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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Identification of intragenic variants in pediatric patients with intellectual disability in Peru by Hugo Hernán Abarca-Barriga, Flor Vásquez Sotomayor, Renzo Punil-Luciano, María Cristina Laso-Salazar, Heli Jaime Barrón-Pastor

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The miRNA‐mRNA Regulatory Network in Human Hepatocellular Carcinoma by Transcriptomic Analysis From GEO by Razieh Heidari, Vahideh Assadollahi, Seyedeh Negar Marashi, Fatemeh Elahian, Seyed Abbas Mirzaei

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The Comparison of Three Measures in Feature Selection by SONG Zhi-chao, KANG Jian, SUN Guang-lu, HE Yong-jun

“…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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