An advanced and efficient asymmetric PCR method for microarray applications by Suresh Reddy Banda, Holger Klapproth, Holger Klapproth, Nicolaas Smit, Sonja Bednar, Sonja Bednar, Thomas Brandstetter, Jürgen Rühe

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Application of microarray outlier detection methodology to psychiatric research by Bureau Alexandre, Ernst Carl, Turecki Gustavo

“…<p>Abstract</p> <p>Background</p> <p>Most microarray data processing methods negate extreme expression values or alter them so that they do not lie outside the mean level of variation of the system. …”
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Making informed choices about microarray data analysis. by Mark Reimers

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Multiple testing for gene sets from microarray experiments by Mackey Cushman Stephanie, George Stephen L, Lim Johan, Owzar Kouros, Sohn Insuk, Jung Sin-Ho

“…<p>Abstract</p> <p>Background</p> <p>A key objective in many microarray association studies is the identification of individual genes associated with clinical outcome. …”
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Visualization and analysis of microarray and gene ontology data with treemaps by Babaria Ketan, Dang Niem, Baehrecke Eric H, Shneiderman Ben

“…Treemaps enable users to rapidly compare sizes of nodes and sub-trees, and we use Gene Ontology categories, levels of RNA, and other quantitative attributes of DNA microarray experiments as examples. Our implementation of treemaps, Treemap 4.0, allows user-defined filtering to focus on the data of greatest interest, and these queried files can be exported for secondary analyses. …”
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How high is the level of technical noise in microarray data? by Klebanov Lev, Yakovlev Andrei

“…<p>Abstract</p> <p>Background</p> <p>Microarray gene expression data are commonly perceived as being extremely noisy because of many imperfections inherent in the current technology. …”
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Translating microarray data for diagnostic testing in childhood leukaemia by de Klerk Nicholas H, Beesley Alex H, Firth Martin J, Hoffmann Katrin, Kees Ursula R

“…In addition, we have demonstrated that microarray findings from one study can be confirmed in an independent study, using an entirely independent patient cohort and with microarray experiments being performed by a different research team.…”
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Recent discoveries and applications involving small-molecule microarrays by Hong, Jiyoung A, Neel, Dylan V, Wassaf, Dina, Caballero, Francisco, Koehler, Angela Nicole

“…Here we review the use of one such format, the small-molecule microarray (SMM), as a tool for discovering protein-small molecule interactions. …”
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Computational synchronization of microarray data with application to Plasmodium falciparum by Zhao, Wei, Dauwels, Justin H. G., Niles, Jacquin, Cao, Jianshu

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Transcriptomes of the B and T lineages compared by multiplatform microarray profiling by Painter, Michio W., Davis, Scott, Hardy, Richard R., Mathis, Diane, Benoist, Christophe, Immunological Genome Project Consortium

“…To obtain a more global perspective of the transcriptional differences underlying T and B cells, we exploited the statistical power of combinatorial profiling on different microarray platforms, and the breadth of the Immunological Genome Project gene expression database, to generate robust differential signatures. …”
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Identification of new drug targets using microarrays and proteomic. by Preiser, Peter.

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Enhanced machine learning techniques for microarray cancer classification by Shen, Li

“…This thesis deals with the problem of microarray cancer classification. Machine learning methods have been used and enhanced to tackle the task. …”
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Recyclable hydrophilic−hydrophobic micropatterns on glass for microarray applications by Kim, Namyong Y., Ying, Jackie Y., Zhang, Hua, Lee, Yong Yeow, Leck, Kwong Joo

“…The patterned glass chips have been successfully used for microarray fabrication.…”
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Ultrasensitive RNA profiling: counting single molecules on microarrays. by Mir, K

Multiple biomarker tissue microarrays: bioinformatics and practical approaches. by Bentzen, S, Buffa, F, Wilson, G

“… INTRODUCTION: Tissue microarrays (TMAs) facilitate high-throughput immunohistochemical analysis of potential predictive and prognostic biomarkers in tumor or normal tissue samples. …”

Gene microarray analysis using angular distribution decomposition. by Lees, K, Roberts, S, Skamnioti, P, Gurr, S

“…Clustering techniques have been widely used in the analysis of microarray data to group genes with similar expression profiles. …”

A biomimetic algorithm for the improved detection of microarray features by Jr, N, Nicolau, D, Maini, P

“…One the major difficulties of microarray technology relate to the processing of large and - importantly - errorloaded images of the dots on the chip surface. …”

Increasing statistical power and generalizability in genomics microarray research by Ramasamy, A

“…The key issues in conducting a meta-analysis for microarrays studies, a checklist and R codes are presented here. …”

Gene microarray analysis using angular distribution decomposition by Lees, K, Roberts, S, Skamnioti, P, Gurr, S

“…Clustering techniques have been widely used in the analysis of microarray data to group genes with similar expression profiles. …”

A biomimetic algorithm for the improved detection of microarray features by Nicolau, D, Nicolau, D, Maini, P

“…One the major difficulties of microarray technology relate to the processing of large and - importantly - error-loaded images of the dots on the chip surface. …”