Microarrays permit the analysis of gene expression, DNA sequence variation, protein levels, tissues, cells and other biological and chemical molecules in a massively parallel format. Robust microarray ...

Consider the ranking of genes using data from replicated microarray time course experiments, where there are multiple biological conditions, and the genes of interest are those whose temporal profiles ...

Although the human genome encodes some 30,000 genes, the phenotype of each cell is specified by the selective expression of a subset of this number. Gene expression is choreographed by context: each ...

A new method for detecting abnormalities in unborn children is providing physicians with more information to analyze the results than conventional, microscopic testing. A new method for detecting ...

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to language for statistics, but the "Tidyverse" has given the language a serious ...

Recently published data generated by researchers at The University of Queensland and Vaxxas shows effective delivery of a nucleic acid-based COVID-19 vaccine in a preclinical animal study utilizing ...

Serial analysis of gene expression (SAGE) uses mRNA from a sample to create complementary DNA (cDNA) fragments for amplification and sequencing using high-throughput sequencing technology. Credit: ...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

As a graduate student, Eric Olson learned something about DNA microarrays: Biochip data management can be vexing. His graduate adviser abandoned a number of microarray experiments because it was too ...

The Global MiRNA Microarray Kits And Reagents Market is projected to grow at a CAGR of 8.5% from 2026 to 2033, according to a new report published by Verified Market Reports®. The report reveals that ...