Cell-binding microarray application in diagnosis of hairy cell leukemia by A. N. Khvastunova, L. S. Al-Radi, N. M. Kapranov, O. S. Fedyanina, L. A. Gorgidze, S. A. Lugovskaya, E. V. Naumova, U. L. Dzhulakyan, A. V. Filatov, F. I. Ataullakhanov, S. A. Kuznetsova

“…We describe an application of a cell-binding microarray – to parallel study of morphology, tartrate-resistant acid phosphatase activity and detection of surface markers on peripheral blood lymphocytes of 90  atients with suspected hairy cell leukemia (HCL). …”
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Phenotype microarray-based assessment of metabolic variability in plant protoplasts by Alice Checcucci, Francesca Decorosi, Giulia Alfreducci, Roberto Natale, Agnese Bellabarba, Stefano Biricolti, Donatella Paffetti, Alessio Mengoni, Carlo Viti

“…Conclusions The standardized high-throughput system developed was effective for the metabolic characterization of plant protoplasts. …”
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Transfer learning for accelerated failure time model with microarray data by Yan-Bo Pei, Zheng-Yang Yu, Jun-Shan Shen

“…Abstract Background In microarray prognostic studies, researchers aim to identify genes associated with disease progression. …”
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Inflammatory Pathways in Parkinson’s Disease; A BNE Microarray Study by Pascal. F. Durrenberger, Edna Grünblatt, Francesca S. Fernando, Camelia Maria Monoranu, Jordan Evans, Peter Riederer, Richard Reynolds, David T. Dexter

“…The main focus of PD research is to better understand substantia nigra homeostasis disruption, particularly in relation to the wide-spread deposition of the aberrant protein α-synuclein. Microarray technology contributed towards PD research with several studies to date and one gene, ALDH1A1 (Aldehyde dehydrogenase 1 family, member A1), consistently reappeared across studies including the present study, highlighting dopamine (DA) metabolism dysfunction resulting in oxidative stress and most probably leading to neuronal cell death. …”
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RETRACTED ARTICLE: Multi-stage biomedical feature selection extraction algorithm for cancer detection by Ismail Keshta, Pallavi Sagar Deshpande, Mohammad Shabaz, Mukesh Soni, Mohit kumar Bhadla, Yasser Muhammed

“…Abstract Cancer is a significant cause of death worldwide. Early cancer detection is greatly aided by machine learning and artificial intelligence (AI) to gene microarray data sets (microarray data). …”
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Implementation of NGS and SNP microarrays in routine forensic practice: opportunities and barriers by Sharlize Pedroza Matute, Sasitaran Iyavoo

“…NGS enables STR sequencing and SNP typing with enhanced discriminatory power, better performance with degraded DNA, and improved mixture deconvolution. Conversely, SNP microarrays offer a cost-effective solution for extended kinship testing, Forensic Investigative Genetic Genealogy (FIGG), and phenotypic prediction, though they are less effective with low-quality samples and DNA mixtures. …”
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Discovery and mechanism of anti-hypertensive effect of a novel tripeptide (SYP) from medicinal fungus Ganoderma lingzhi by Qiang Wu, Feijun Luo, Jia Huang, Ping Huang, Yongnan Liu, Xiaoling Wang, Gaoqiang Liu

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Generation of Antigen Microarrays to Screen for Autoantibodies in Heart Failure and Heart Transplantation. by Andrzej Chruscinski, Flora Y Y Huang, Albert Nguyen, Jocelyn Lioe, Laura C Tumiati, Stella Kozuszko, Kathryn J Tinckam, Vivek Rao, Shannon E Dunn, Michael A Persinger, Gary A Levy, Heather J Ross

“…We first demonstrated that our antigen microarray technique displayed enhanced sensitivity to detect autoantibodies compared to the traditional ELISA method. …”
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Comparative Microarray Analysis of Proliferating and Differentiating Murine ENS Progenitor Cells by Peter Helmut Neckel, Roland Mohr, Ying Zhang, Bernhard Hirt, Lothar Just

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RNA Amplification Results in Reproducible Microarray Data with Slight Ratio Bias by László G. Puskás, Ágnes Zvara, László Hackler, Paul Van Hummelen

“…Microarray expression analysis demands large amounts of RNA that are often not available. …”
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Microarray integrated spatial transcriptomics (MIST) for affordable and robust digital pathology by Juwayria, Priyansh Shrivastava, Kaustar Yadav, Sourabh Das, Shubham Mittal, Sunil Kumar, Deepali Jain, Prabhat Singh Malik, Ishaan Gupta

“…To address these issues, we propose Microarray Integrated Spatial Transcriptomics (MIST), combining conventional tissue microarray (TMA) with Visium, using laser-cutting and 3D printing to enhance slide throughput. …”
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Gene expression analysis of ABC transporter family in breast tumors: relationship with chemotherapy effect and disease prognosis by M. M. Tsyganov, M. K. Ibragimova, A. M. Pevzner, K. A. Gaptulbarova, E. Yu. Garbukov, Е. М. Slonimskaya, E. A. Usynin, N. V. Litviakov

“…RNA was isolated from paired samples of tumor tissue before and after NAC. A microarray study of all tumor samples was performed on ClariomТМ S Assay, human microarrays. …”
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DNA isolation protocol effects on nuclear DNA analysis by microarrays, droplet digital PCR, and whole genome sequencing, and on mitochondrial DNA copy number estimation. by Elizabeth Nacheva, Katya Mokretar, Aynur Soenmez, Alan M Pittman, Colin Grace, Roberto Valli, Ayesha Ejaz, Selina Vattathil, Emanuela Maserati, Henry Houlden, Jan-Willem Taanman, Anthony H Schapira, Christos Proukakis

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A Meta‐Analysis of the Effects of Early Life Stress on the Prefrontal Cortex Transcriptome Reveals Long‐Term Downregulation of Myelin‐Related Gene Expression by Toni Q. Duan, Megan H. Hagenauer, Elizabeth I. Flandreau, Anne Bader, Duy Manh Nguyen, Pamela M. Maras, Randriely Merscher S. De Lima, Trevonn Gyles, Christabel Mclain, Michael J. Meaney, Eric J. Nestler, Stanley J. Watson Jr., Huda Akil

“…For each gene, a random‐effects meta‐analysis model was then fit to the ELS versus control effect sizes (Log2 Fold Changes) from each study. …”
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High reproducibility using sodium hydroxide-stripped long oligonucleotide DNA microarrays by Zhiyuan Hu, Melissa Troester, Charles M. Perou

“…In addition, when there is limited availability of mRNA from tissue sources, RNA amplification can and is being used to produce sufficient quantities of cRNA for microarray hybridization. Taking advantage of the selective degradation of RNA under alkaline conditions, we have developed a method to “strip” glass-based oligonucleotide microarrays that use fluorescent RNA in the hybridization, while leaving the DNA oligonucleotide probes intact and usable for a second experiment. …”
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ZODET: software for the identification, analysis and visualisation of outlier genes in microarray expression data. by Daniel L Roden, Gavin W Sewell, Anna Lobley, Adam P Levine, Andrew M Smith, Anthony W Segal

“…Here we describe a graphical software package (z-score outlier detection (ZODET)) that enables identification and visualisation of gross abnormalities in gene expression (outliers) in individuals, using whole genome microarray data. …”
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A Novel Ensemble Feature Selection Technique for Cancer Classification Using Logarithmic Rank Aggregation Method by Hüseyin Öztoprak, Hüseyin Güney

“…Recent studies have shown that ensemble feature selection (EFS) has achieved outstanding performance in microarray data classification. …”
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Chromosomal Microarray in Children Born Small for Gestational Age – Single Center Experience by Perović D, Barzegar P, Damnjanović T, Jekić B, Grk M, Dušanović Pjević M, Cvetković D, Đuranović Uklein A, Stojanovski N, Rašić M, Novaković I, Elhayani B, Maksimović N

“…Notably, advancements in cytogenetic techniques have shifted from routine karyotyping to the recommended use of microarray technology. This transition allows higher resolution and the detection of sub-microscopic copy number variants (CNVs).…”
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Chromosomal Microarray Analysis in Spina Bifida: Genetic Heterogeneity and Its Clinical Implications by Himani Pandey, Jyoti Sharma, Sourabh Kumar, Nakul Mohan, Vishesh Jain, Anjan Kumar Dhua, Devendra Kumar Yadav, Ashish Kumar Dubey, Prativa Choudhury, Prabudh Goel

“…While whole exome sequencing has identified several pathogenic variants in Indian cohorts, the role of chromosomal imbalances and long contiguous stretches of homozygosity (LCSHs) remains largely unexplored in this population. Chromosomal microarray analysis (CMA) is an important tool that provides insights into such genetic aberrations, making it significant for evaluating patients with spina bifida. …”
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A review of independent component analysis application to microarray gene expression data by Wei Kong, Charles R. Vanderburg, Hiromi Gunshin, Jack T. Rogers, Xudong Huang

“…Independent component analysis (ICA) methods have received growing attention as effective data-mining tools for microarray gene expression data. …”
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