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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Microarray-Based Cancer Diagnosis with Artificial Neural Networks by Markus Ringnér, Carsten Peterson

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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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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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Minimum Information About a Microarray Experiment (MIAME) – Successes, Failures, Challenges by Alvis Brazma

“…The MIAME guidelines were developed by the Microarray Gene Expression Data (MGED) Society. Since the MIAME position paper was published in 2001, it has been cited in the scientific literature well over a thousand times. …”
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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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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

“…The association between small for gestational age birth and chromosomal abnormalities identified through karyotyping is well-established. Notably, advancements in cytogenetic techniques have shifted from routine karyotyping to the recommended use of microarray technology. …”
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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

“…Differences between SLE and control groups, as well as SLE subgroups, were validated by lectin blotting. …”
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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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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

“…The theoretical assumptions as well as the simulations indicate that, for the basic geometry of a microarray hybridization experiment, a large amount of binding molecules reach the spot from the sides (and not from above the spot), leading to a preferential binding on the rims of the spot. …”
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Chromosomal microarray on product of conception in early pregnancy loss: A case report by Snehal Mallakmir, Gauri Mulgund, Rashid Merchant

“…Various studies have now demonstrated the benefits of chromosomal microarray analysis (CMA) compared to conventional cytogenetic analysis in managing RPL. …”
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Comprehensive Review of Hybrid Feature Selection Methods for Microarray-Based Cancer Detection by Azka Khoirunnisa, Didit Adytia, Mustafa Mat Deris, Adiwijaya

“…Microarray data-based cancer detection advances early diagnosis and personalized medicine by utilizing gene expression data to develop comprehensive cancer profiles, measuring thousands of genes simultaneously. …”
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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

“…Abstract DNA microarray technology is a powerful tool for monitoring gene expression or for finding the location of DNA‐bound proteins. …”
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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

“…The Charge Coupled Device (CCD) scanner determines the concentration of the microarray by capturing the intensity of the fluorescent signal on the microarray in combination with the standard curve. …”
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A Comparison of Two Classes of Methods for Estimating False Discovery Rates in Microarray Studies by Emily Hansen, Kathleen F. Kerr

“…The goal of many microarray studies is to identify genes that are differentially expressed between two classes or populations. …”
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Medullary breast carcinoma: a pathogenic review and immunohistochemical study using tissue microarray by Ming Lee, Ana Richelia Jara-Lazaro, Poh Yian Cheok, Aye Aye Thike

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Immunogenicity, safety, usability and acceptability of microarray patches for vaccination: a systematic review and meta-analysis by S Rachel Skinner, Robert Booy, Erin Mathieu, Claire Thomas, Matthew N Berger, Ellen S Mowbray, Marian W A Farag, Cristyn Davies, Angus H Forster

“…Background Microarray patches (MAPs) deliver vaccines to the epidermis and the upper dermis, where abundant immune cells reside. …”
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SNP Microarray in FISH Negative Clinically Suspected 22q11.2 Microdeletion Syndrome by Ashutosh Halder, Manish Jain, Amanpreet Kaur Kalsi

“…Clinically suspected specific deletions (22q11.2) were detectable in approximately 8% of cases by SNP microarray, mostly from FISH noninformative cases. This study also identified several LOH/AOH loci with known and well-defined UPD (uniparental disomy) disorders. …”
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Cytokeratin Profiles Identify Diagnostic Signatures in Colorectal Cancer Using Multiplex Analysis of Tissue Microarrays by Thomas Knösel, Valeska Emde, Karsten Schlüns, Peter Michael Schlag, Manfred Dietel, Iver Petersen

“…Methods: Tissue microarrays (TMA) comprising 468 CRC specimens from 203 patients were constructed to evaluate CK5, CK7, CK8, CK13, CK14, CK16, CK17, CK18, CK19 and CK20. …”
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Circular RNA microarray expression profile and potential function of circDOCK1 in colorectal cancer by Guojing Zhang, Xiaoyan Wu, Hongmin Fu, Daqing Sun

“…This study aimed to investigate the impact of circDOCK1 on CRC metastasis and prognosis as well as its underlying molecular mechanisms.MethodsWe explored circRNA expression profiles in four pairs of CRC tissues and adjacent non-carcinoma tissues via microarray analysis. …”
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