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DNA Microarray Stochastic Model

IEEE Transactions on Nanobioscience, 2005
A stochastic model of the DNA microarray image pixels is presented. The model includes spot pixel intensity distribution, interpixel correlations and the intensity distribution of background noise. The data is indicative of a small exponential additive noise process and a larger Gaussian fluctuation that scales with spot intensity.
Stephen W, Davies, David A, Seale
openaire   +2 more sources

DNA microarrays in neuropsychopharmacology

Trends in Pharmacological Sciences, 2001
Recent advances in experimental genomics, coupled with the wealth of sequence information available for a variety of organisms, have the potential to transform the way pharmacological research is performed. At present, high-density DNA microarrays allow researchers to quickly and accurately quantify gene-expression changes in a massively parallel ...
E R, Marcotte   +2 more
openaire   +2 more sources

DNA Microarray-Based Diagnostics

2016
The DNA microarray technology is currently a useful biomedical tool which has been developed for a variety of diagnostic applications. However, the development pathway has not been smooth and the technology has faced some challenges. The reliability of the microarray data and also the clinical utility of the results in the early days were criticized ...
Mahsa Gharibi, Marzancola   +2 more
openaire   +2 more sources

DNA microarrays and pharmacogenomics

Pharmacological Research, 2004
The DNA microarrays have proven to be a state of the art technique for high throughput comprehensive analysis of thousand of genes in parallel. The application of a DNA microarray to compare normal and pathological cells, tissues or organs may allow, along with classical positional cloning techniques, to speed up the discovery of genes and gene ...
Rolando, Meloni   +2 more
openaire   +2 more sources

DNA microarrays for malaria

Trends in Parasitology, 2002
DNA microarrays are a powerful tool for the analysis of RNA and DNA composition on a whole-genome scale. The first applications of this technology in parasitology are in place. This review examines the various approaches to Plasmodium transcript-profiling that are being adopted using DNA microarray analysis and discusses additional strategies for ...
Pradipsinh K, Rathod   +4 more
openaire   +2 more sources

Comparing Bacterial DNA Microarray Fingerprints

Statistical Applications in Genetics and Molecular Biology, 2005
Epidemiologic and forensic investigations often require assays to detect subtle genetic differences between closely related microorganisms. Typically, gel electrophoresis is used to compare randomly amplified DNA fragments between microbial samples, where the patterns of DNA fragment sizes are viewed as genotype ‘fingerprints’.
Willse, Alan   +5 more
openaire   +3 more sources

DNA Microarrays in Plants

2013
absent
Doumas, Patrick   +3 more
openaire   +2 more sources

DNA microarray and cancer

Current Opinion in Oncology, 2003
Since the discovery of the first oncogene 26 years ago, a large body of research has convincingly demonstrated that the initiation and progression of cancers involve the accumulation of genetic aberrations in the cell. Many techniques have been developed to identify these genetic abnormalities.
openaire   +2 more sources

RNA and DNA Microarrays

2010
The development of microarray technology has revolutionized RNA and deoxyribonucleic acid (DNA) research. In contrast with traditional biological assays, microarrays allow the simultaneous measurement of tens of thousands of messenger RNA (mRNA) transcripts for gene expression or of genomic DNA fragments for copy number variation analysis.
Stuart C, Sealfon, Tearina T, Chu
openaire   +2 more sources

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