Application of Principal Component Analysis for Gene Sequences (cDNA microarrays) by Yalçın Tahtalı, Zeynel Cebeci

“…In this study, principal component analysis has been applied on data comprising of 6675 gene and 20 sequence collected by using cDNA microarray technology from livers of mice used in toxicology studies in certain time periods. …”
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Construction, visualisation, and clustering of transcription networks from microarray expression data. by Tom C Freeman, Leon Goldovsky, Markus Brosch, Stijn van Dongen, Pierre Mazière, Russell J Grocock, Shiri Freilich, Janet Thornton, Anton J Enright

“…Such approaches are increasingly being applied to genomics data, where functional linkages are used to connect genes or proteins. However, while microarray gene expression datasets are now abundant and of high quality, few approaches have been developed for analysis of such data in a network context. …”
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Microarray Analysis of Transcriptome of Medulla Identifies Potential Biomarkers for Parkinson’s Disease by Xiao-Yang Liao, Wei-Wen Wang, Zheng-Hui Yang, Jun Wang, Hang Lin, Qing-Song Wang, Yu-Xian Wu, Yu Liu

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Active mixing during hybridization improves the accuracy and reproducibility of microarray results by Christopher J. Schaupp, Guojian Jiang, Timothy G. Myers, Michael A. Wilson

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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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Probe Generation Directly from Small Numbers of Cells for DNA Microarray Studies by C.C. Xiang, M. Chen, O.A. Kozhich, Q.N. Phan, J.M. Inman, Y. Chen, M.J. Brownstein

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CRISPR screens and lectin microarrays identify high mannose N-glycan regulators by C. Kimberly Tsui, Nicholas Twells, Jenni Durieux, Emma Doan, Jacqueline Woo, Noosha Khosrojerdi, Janiya Brooks, Ayodeji Kulepa, Brant Webster, Lara K. Mahal, Andrew Dillin

“…Here, we present a strategy that utilizes CRISPR screens and lectin microarrays to uncover and characterize regulators of glycosylation. …”
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IgG glycosylation profiling of systemic lupus erythematosus using lectin microarray by Shangzhu Zhang, Xiaofeng Zeng, Qian Wang, Jiuliang Zhao, Xinping Tian, Mengtao Li, Yan Zhao, Dong Xu, Chaojun Hu, Yang Wu, Minhui Wang

“…In this study, we aimed to characterise the glycosylation profile of serum IgG in patients with SLE.Methods Lectin microarrays with 56 lectins were used to analyse serum IgG glycosylation in 194 patients with SLE, 100 disease controls (40 primary Sjögren’s syndrome (pSS), 60 rheumatoid arthritis (RA)) and 100 healthy controls (HCs). …”
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Chromosomal microarray on product of conception in early pregnancy loss: A case report by Snehal Mallakmir, Gauri Mulgund, Rashid Merchant

Subjects: “…chromosomal microarray…”
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Minimum Information About a Microarray Experiment (MIAME) – Successes, Failures, Challenges by Alvis Brazma

“…The Minimum Information About a Microarray Experiment (known as MIAME) guidelines describe information that needs to be provided to enable the interpretation of the results of a microarray-based experiment unambiguously. …”
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Reuse of cDNA microarrays hybridized with cRNA by stripping with RNase H by Haoxiang Wu, James A Bynum, Salomon Stavchansky, Phillip D. Bowman

“…DNA microarrays are powerful tools for global analysis of gene transcript expression. …”
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A comprehensive microarray-based DNA methylation study of 367 hematological neoplasms. by Jose I Martin-Subero, Ole Ammerpohl, Marina Bibikova, Eliza Wickham-Garcia, Xabier Agirre, Sara Alvarez, Monika Brüggemann, Stefanie Bug, Maria J Calasanz, Martina Deckert, Martin Dreyling, Ming Q Du, Jan Dürig, Martin J S Dyer, Jian-Bing Fan, Stefan Gesk, Martin-Leo Hansmann, Lana Harder, Sylvia Hartmann, Wolfram Klapper, Ralf Küppers, Manuel Montesinos-Rongen, Inga Nagel, Christiane Pott, Julia Richter, José Román-Gómez, Marc Seifert, Harald Stein, Javier Suela, Lorenz Trümper, Inga Vater, Felipe Prosper, Claudia Haferlach, Juan Cruz Cigudosa, Reiner Siebert

“…<h4>Methodology/principal findings</h4>Here, we report for the first time a microarray-based DNA methylation study of 767 genes in 367 HNs diagnosed with 16 of the most representative B-cell (n = 203), T-cell (n = 30), and myeloid (n = 134) neoplasias, as well as 37 samples from different cell types of the hematopoietic system. …”
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CCD Standard Curve Fitting for Microarray Detection Base on Multi-Layer Perceptron by Zhenhua Gan, Dongyu He, Peishu Wu, Baoping Xiong, Nianyin Zeng, Fumin Zou, Feng Guo, Qin Bao, Fengyan Zhao

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A tailored lectin microarray for rapid glycan profiling of therapeutic monoclonal antibodies by Shen Luo, Baolin Zhang

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Adaptable gene‐specific dye bias correction for two‐channel DNA microarrays by Thanasis Margaritis, Philip Lijnzaad, Dik van Leenen, Diane Bouwmeester, Patrick Kemmeren, Sander R van Hooff, Frank CP Holstege

Subjects: “…DNA microarrays…”
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P794: Challenges in microarray analysis and interpretation of incidental findings on the X chromosome by Leena Baker, Heather Major, Jaime Nagy

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Diffusion limitation: a possible source for the occurrence of doughnut patterns on DNA microarrays by Kris Pappaert, Heidi Ottevaere, Hugo Thienpont, Paul Van Hummelen, Gert Desmet

“…Doughnut shaped hybridization patterns on DNA microarrays are mainly allocated to spotting or drying artifacts. …”
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Assessment of centrifugation using for accelerated immunological microarray analysis for blood cells investigation by A. V. Shishkin, N. G. Ovchinina, S. S. Bessmeltsev

Subjects: “…immunological microarray…”
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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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Navigating the microarray landscape: a comprehensive review of feature selection techniques and their applications by Fangling Wang, Azlan Mohd Zain, Yanjie Ren, Mahadi Bahari, Azurah A. Samah, Zuraini Binti Ali Shah, Norfadzlan Bin Yusup, Rozita Abdul Jalil, Azizah Mohamad, Nurulhuda Firdaus Mohd Azmi

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