Results 41 to 50 of about 185,542 (303)
Background The use of microarray technology to assess gene expression levels is now widespread in biology. The validation of microarray results using independent mRNA quantitation techniques remains a desirable element of any microarray experiment.
Boag Joanne M+9 more
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The scope of this paper is to illustrate the need for an improved quality assurance in fluorometry. For this purpose, instrumental sources of error and their influences on the reliability and comparability of fluorescence data are highlighted for ...
Ebert, P.+7 more
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FiGS: a filter-based gene selection workbench for microarray data
Background The selection of genes that discriminate disease classes from microarray data is widely used for the identification of diagnostic biomarkers. Although various gene selection methods are currently available and some of them have shown excellent
Yun Taegyun+3 more
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Pro-MAP: a robust pipeline for the pre-processing of single channel protein microarray data
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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Optimization of Cyanine Dye Stability and Analysis of FRET Interaction on DNA Microarrays
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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Physico-chemical foundations underpinning microarray and next-generation sequencing experiments [PDF]
Hybridization of nucleic acids on solid surfaces is a key process involved in high-throughput technologies such as microarrays and, in some cases, next-generation sequencing (NGS).
A. Buhot+70 more
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Comprehensive Review of Hybrid Feature Selection Methods for Microarray-Based Cancer Detection
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.
Azka Khoirunnisa+3 more
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Biophotonic Tools in Cell and Tissue Diagnostics. [PDF]
In order to maintain the rapid advance of biophotonics in the U.S. and enhance our competitiveness worldwide, key measurement tools must be in place. As part of a wide-reaching effort to improve the U.S.
Brownstein, Michael+8 more
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Clustering column-mean quantile median: a new methodology for imputing missing data
DNA microarray data sets have been widely explored and used to analyze data without any previous biological background. However, analyzing them becomes challenging if data are missing.
Nourhan Yehia+2 more
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Differential gene expression graphs: A data structure for classification in DNA microarrays [PDF]
This paper proposes an innovative data structure to be used as a backbone in designing microarray phenotype sample classifiers. The data structure is based on graphs and it is built from a differential analysis of the expression levels of healthy and ...
Benso, Alfredo+3 more
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