Microarray technology encompasses a few relatively well-established methods and numerous applications that are in various stages of development. Apart from their use as a tool for diagnostic testing ...

MicroRNAs (miRNAs) are small regulatory RNAs that serve fundamental biological roles across eukaryotic species. We describe a new method for high-throughput miRNA detection. The technique is termed ...

The field of proteomics has undergone rapid advancements over the last decade and protein microarrays have emerged as a promising technological platform for the challenging task of studying complex ...

Expert Rev Mol Diagn. 2013;13(6):601-611. In other situations, normal microarray analysis in the presence of an abnormal karyotype, such as marker chromosomes, is reassuring, as it indicates that the ...

Microarrays are a novel technology that facilitates the simultaneous measurement of thousands of gene expression levels. A typical microarray experiment can produce millions of data points, raising ...

Reviewed by Dr. Tomislav Meštrović, MD, Ph.D. The microarray is a recently developed technology used in cancer research and in the pharmacological treatment of other diseases such as oral lesions. In ...

EYSINS, Switzerland, July 29, 2024 /PRNewswire/ -- AliveDx ("Company") is proud to announce it has received IVDR CE mark for its groundbreaking microarray immunoassay, designed for the detection of a ...

Reviewed by Dr. Tomislav Meštrović, MD, Ph.D. Microarray or biochip is a lab-oriented microscope slide that is usually made of glass, silicon chip, or nylon membrane. It is a 2D array (sometimes 3D) ...

CD BioSciences, a US-based biotechnology company focusing on the development of imaging technologies, is pleased to announce the launch of its new line of Circulatory System Tissue Microarrays to the ...

Spectrum Solutions’ offerings enhanced by including CLIA/CAP laboratory testing, custom assay development, and manufacturing of industry-leading microarray chip technology. These valuable assets, ...

This is a preview. Log in through your library . Abstract We consider penalized linear regression, especially for "large p, small n" problems, for which the relationships among predictors are ...