Cellular neural networks, Navier-Stokes equation and microarray image reconstruction [PDF]
, 2011 Copyright @ 2011 IEEE.Although the last decade has witnessed a great deal of improvements achieved for the microarray technology, many major developments in all the main stages of this technology, including image processing, are still needed.
Liu, X, Wang, Z, Zineddin, B
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Optimization of Cyanine Dye Stability and Analysis of FRET Interaction on DNA Microarrays
Biology, 2016 The application of DNA microarrays for high throughput analysis of genetic regulation is often limited by the fluorophores used as markers. The implementation of multi-scan techniques is limited by the fluorophores’ susceptibility to photobleaching when ...
Marcel von der Haar +6 more
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Pro-MAP: a robust pipeline for the pre-processing of single channel protein microarray data
BMC Bioinformatics, 2022 Background The central role of proteins in diseases has made them increasingly attractive as therapeutic targets and indicators of cellular processes. Protein microarrays are emerging as an important means of characterising protein activity.
Metoboroghene Oluwaseyi Mowoe +6 more
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Profound effect of profiling platform and normalization strategy on detection of differentially expressed microRNAs [PDF]
, 2012 Adequate normalization minimizes the effects of systematic technical variations and is a prerequisite for getting meaningful biological changes. However, there is inconsistency about miRNA normalization performances and recommendations.
Kaiser, Sebastian +4 more
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Evaluation of the Tissue Microarray Technique for Immunohistochemical Analysis in Rectal Cancer
Archives of Pathology & Laboratory Medicine, 2002 Abstract Background. —Immunohistochemical staining for tumor-associated proteins is widely used for the identification of novel prognostic markers. Recently, a tissue-conserving, high-throughput technique, tissue microarray, has been introduced.
Eva, Fernebro +4 more
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Comprehensive Review of Hybrid Feature Selection Methods for Microarray-Based Cancer Detection
IEEE AccessMicroarray 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.
Azka Khoirunnisa +3 more
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SMART: Unique splitting-while-merging framework for gene clustering [PDF]
, 2014 Copyright @ 2014 Fa et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are ...
A Thalamuthu +36 more
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Weighted k-Nearest-Neighbor Techniques and Ordinal Classification [PDF]
, 2004 In the field of statistical discrimination k-nearest neighbor classification is a well-known, easy and successful method. In this paper we present an extended version of this technique, where the distances of the nearest neighbors can be taken into ...
Hechenbichler, K., Schliep, K.
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Application of chromosome microarray analysis and karyotyping in fetal cardiac abnormalities
Frontiers in GeneticsObjectiveChromosome microarray analysis (CMA) and karyotyping are two important genetic testing techniques used in prenatal diagnosis. This study aims to evaluate the value of chromosome microarray analysis and karyotyping in the diagnosis of fetal ...
Yun Guo +3 more
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Analysis with respect to instrumental variables for the exploration of microarray data structures
BMC Bioinformatics, 2006 Background Evaluating the importance of the different sources of variations is essential in microarray data experiments. Complex experimental designs generally include various factors structuring the data which should be taken into account. The objective
Schwager Joseph +4 more
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