The wide range of methods for analysing microarray data can seem bewildering to researchers. This Review provides a guide to statistical analysis for the different stages of a microarray ...

A new gene expression analysis approach for identifying cancer genes has been identified by scientists. The study results challenge the current paradigm of microarray data analysis and suggest ...

Comparisons that do take the analysis of the data into account usually find good concordance between different laboratories and various types of microarray. 42–47 To facilitate comparisons ...

Microarray analysis can be performed to assess differences in gene expression between two different samples. After isolating nucleic acids from the two samples, one sample is labeled with a dye ...

The study results challenge the current paradigm of microarray data analysis and suggest that the new method may improve identification of cancer-associated genes. Advanced Search.

Microarrays are nothing without their scanners, the instruments that extract the array's data in computer-readable form. Steve Fodor and colleagues at Affymax built the first scanner in 1989, around ...

Perhaps the biggest challenge to microarray technology is standardization--ensuring that data collected from different microarray platforms can be accurately compared. Compounding this problem is the ...

There is no shortage of big data sets in the healthcare world, encompassing everything from chest X-rays to drug research. Startups and established companies alike are both using artificial ...

The study results challenge the current paradigm of microarray data analysis and suggest that the new method may improve identification of cancer-associated genes.