Listen to genes: dealing with microarray data in the frequency domain. by Jianfeng Feng, Dongyun Yi, Ritesh Krishna, Shuixia Guo, Vicky Buchanan-Wollaston

“…<h4>Background</h4>We present a novel and systematic approach to analyze temporal microarray data. The approach includes normalization, clustering and network analysis of genes.…”
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P685: A single-center reevaluation and reanalysis of copy number variants of uncertain significance detected by chromosome microarray from consecutive pediatric patients by Wenjiao Li, Hongyan Chai, Autumn Diadamo, Yuan Dai, Peining Li, Michele Spencer-Manzon, Hui Zhang, Jiadi Wen

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Clinically relevant genetic variants of drug-metabolizing enzyme and transporter genes detected in Thai children and adolescents with autism spectrum disorder by Medhasi S, Pasomsub E, Vanwong N, Ngamsamut N, Puangpetch A, Chamnanphon M, Hongkaew Y, Limsila P, Pinthong D, Sukasem C

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A hybrid of an automated multi-filter with a spatial bound particle swarm optimization for gene selection and cancer classification by Anas Arram, Masri Ayob, Musatafa Abbas Abbood Albadr, Dheeb Albashish, Alaa Sulaiman

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A Sensitive and Fast microRNA Detection Platform Based on CRlSPR-Cas12a Coupled with Hybridization Chain Reaction and Photonic Crystal Microarray by Bingjie Xue, Bokang Qiao, Lixin Jia, Jimei Chi, Meng Su, Yanlin Song, Jie Du

“…The sensitive and fast detection of miRNAs is critical for diagnosis and prognosis. …”
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Application of chromosome microarray analysis and karyotyping in fetal cardiac abnormalities by Yun Guo, Xiaoqin Xin, Linju Zhou, Jungao Huang

“…Chromosome microarray analysis detected abnormalities in 6.58% (5/76) of the isolated cardiac abnormalities group and 27.27% (6/22) in the group with combined abnormalities, showing a significant statistical difference (P &lt; 0.05). …”
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Computer Vision for Substrate Detection in High‐Throughput Biomaterial Screens Using Bright‐Field Microscopy by Robert Owen, Aishah Nasir, Mahetab H. Amer, Chenxue Nie, Xuan Xue, Laurence Burroughs, Chris Denning, Ricky D. Wildman, Faraz A. Khan, Morgan R. Alexander, Felicity R. A. J. Rose

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Monitoring of Representational Difference Analysis Subtraction Procedures by Global Microarrays by T. Andersson, P. Unneberg, P. Nilsson, J. Odeberg, J. Quackenbush, J. Lundeberg

“…The compromise between focusing on only the important genes in certain cellular processes and achieving a complete picture is critical for the selection of strategy. We demonstrate how global microarray technology can be used for the exploration of the differentially expressed genes extracted through representational difference analysis (RDA). …”
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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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A universal DNA microarray for rapid fish species authentication by Patrizia Bade, Sebastian Stix, Kristina Kappel, Jan Fritsche, Ilka Haase, Andrew Torda, Nils Wax, Markus Fischer, Dirk Brandis, Ute Schröder

“…DNA microarrays are now used in fields such as gene expression analysis, pathogen/virus detection and identification of biomarkers. …”
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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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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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Efficient Hybrid-Robust Approach for Cancer Biomarker Discovery Using Omics Data by Karima Sid, Soumia Zertal, Mohamed Batouche, Soumeya Zerabi

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Application of Chromosome Microarray in Diagnosis of Amniotic Fluid in Older Pregnant Women by Guangting Lu, Weiwu Liu, Chao Ou

“…Background: To improve the detection rate of chromosome abnormalities in fetuses and to reduce the birth defects rate in elderly pregnant women using chromosome karyotype analysis combined with the chromosome microarray analysis (CMA) technique. …”
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Optimization based tumor classification from microarray gene expression data. by Onur Dagliyan, Fadime Uney-Yuksektepe, I Halil Kavakli, Metin Turkay

“…<h4>Background</h4>An important use of data obtained from microarray measurements is the classification of tumor types with respect to genes that are either up or down regulated in specific cancer types. …”
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Consensus PCR and Microarray for Diagnosis of the Genus Staphylococcus, Species, and Methicillin Resistance by S. Hamels, J.-L. Gala, S. Dufour, P. Vannuffel, N. Zammatteo, J. Remacle

“…Products were then identified on a glass array. The microarray contained five selective DNA capture probes for the simultaneous and differential identification of the five most clinically relevant staphylococcal species (S. aureus, S. epidermidis, S. haemolyticus, S. hominis, and S. saprophyticus), while a consensus capture probe could detect all femAsequences, allowing the identification of the genus Staphylococcus. …”
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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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Robust Microarray Meta-Analysis Identifies Differentially Expressed Genes for Clinical Prediction by John H. Phan, Andrew N. Young, May D. Wang

“…Combining multiple microarray datasets increases sample size and leads to improved reproducibility in identification of informative genes and subsequent clinical prediction. …”
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