High reproducibility using sodium hydroxide-stripped long oligonucleotide DNA microarrays by Zhiyuan Hu, Melissa Troester, Charles M. Perou

“…Recently, long oligonucleotide (60- to 70-mer) microarrays for two-color experiments have been developed and are gaining widespread use. …”
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Allergen Microarray Indicates Pooideae Sensitization in Brazilian Grass Pollen Allergic Patients. by Priscila Ferreira de Sousa Moreira, Katharina Gangl, Francisco de Assis Machado Vieira, Leandro Hideki Ynoue, Birgit Linhart, Sabine Flicker, Helmut Fiebig, Ines Swoboda, Margarete Focke-Tejkl, Ernesto Akio Taketomi, Rudolf Valenta, Verena Niederberger

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Use of RNA and Genomic DNA References for Inferred Comparisons in DNA Microarray Analyses by H. Kim, B. Zhao, E.C. Snesrud, B.J. Haas, C.D. Town, J. Quackenbush

“…In most microarray assays, labeled cDNA molecules derived from reference and query RNA samples are co-hybridized to probes arrayed on a glass surface. …”
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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

Subjects: “…chromosomal microarray analysis…”
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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

Subjects: “…chromosomal microarray…”
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Key issues in conducting a meta-analysis of gene expression microarray datasets. by Adaikalavan Ramasamy, Adrian Mondry, Chris C Holmes, Douglas G Altman

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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

“…<h4>Availability</h4>The software is freely available from http://www.ucl.ac.uk/medicine/molecular-medicine/publications/microarray-outlier-analysis.…”
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The mechanisms underlying α-amanitin resistance in Drosophila melanogaster: a microarray analysis. by Chelsea L Mitchell, Michael C Saul, Liang Lei, Hairong Wei, Thomas Werner

“…Here we performed a microarray study to elucidate the genes, chromosomal loci, molecular functions, biological processes, and cellular components that contribute to the α-amanitin resistance phenotype in Drosophila melanogaster. …”
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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. As a technique of higher-order statistical analysis, ICA is capable of extracting biologically relevant gene expression features from microarray data. …”
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Identification of the feline humoral immune response to Bartonella henselae infection by protein microarray. by Adam Vigil, Rocio Ortega, Aarti Jain, Rie Nakajima-Sasaki, Xiaolin Tan, Bruno B Chomel, Rickie W Kasten, Jane E Koehler, Philip L Felgner

“…<h4>Methodology</h4>We report the development of a microarray comprised of proteins expressed from 96% (1433/1493) of the predicted ORFs encoded by the genome of the zoonotic pathogen Bartonella henselae. …”
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Microarray Analysis of the Juvenile Hormone Response in Larval Integument of the Silkworm, Bombyx mori by Daojun Cheng, Jian Peng, Meng Meng, Ling Wei, Lixia Kang, Wenliang Qian, Qingyou Xia

“…Here, we induced silkworm superlarvae by applying the JH analogue (JHA) methoprene and used a microarray approach to survey the mRNA expression changes in response to JHA in the silkworm integument. …”
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Microarray Evidences the Role of Pathologic Adipose Tissue in Insulin Resistance and Their Clinical Implications by Sandeep Kumar Mathur, Priyanka Jain, Prashant Mathur

“…Study of gene function in metabolically active tissues like adipose tissue, skeletal muscle and liver is a promising strategy. Microarray is a powerful technique of assessment of gene function by measuring transcription of large number of genes in an array. …”
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Microarray Data Analysis: From Hypotheses to Conclusions Using Gene Expression Data by Nicola J. Armstrong, Mark A. van de Wiel

“…We review several commonly used methods for the design and analysis of microarray data. To begin with, some experimental design issues are addressed. …”
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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

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Identification of Differentially Expressed Gene after Femoral Fracture via Microarray Profiling by Donggen Zhong

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63 Evaluation of suitability of rapid microarray technique – EUROArray system in diagnosis of dermatophytoses by Anna Morkowska

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Quantification of DNA probes on nylon microarrays using T4 polynucleotide kinase labeling by M. El Atifi, I. Dupré, B. Rostaing, A.L. Benabid, F. Berger

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Identification of gastric cancer biomarkers through in-silico analysis of microarray based datasets by Arbaz Akhtar, Yasir Hameed, Samina Ejaz, Iqra Abdullah

“…For this purpose, the ten microarray-based gene expression datasets (GSE54129, GSE79973, GSE161533, GSE103236, GSE33651, GSE19826, GSE118916, GSE112369, GSE13911, and GSE81948) were retrieved from GEO database and analyzed by GEO2R to identify differentially expressed genes. …”
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GeneX Va: VBC open source microarray database and analysis software by Jae K. Lee, Tom Laudeman, Jodi Kanter, Teela James, Mir S. Siadaty, William A. Knaus, Alyson Prorok, Yongde Bao, Brad Freeman, Daniela Puiu, Li min Wen, Gregory A. Buck, Karen Schlauch, Jennifer Weller, Jay W. Fox

“…It provides an integrated framework for management, documentation, and analysis of microarray experiments and data to support a range of users, from individual research laboratories to institutional microarray facilities. …”
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Microarray technologies for analysis of genetic determinants of <i>Neisseria gonorrhoeae</i> antimicrobial resistance by Boris L. Shaskolskiy, Dmitry V. Kravtsov, Ilya D. Kandinov, Dmitry A. Gryadunov, Marina V. Shpilevaya, Julia Z. Shagabieva, Nikita Y. Nosov

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