A recent study highlights how DNA microarray technology enables high-throughput gene analysis, supporting variation detection, expression ...

Microarray expression profiling is instrumental to our understanding of the function of the genome. Resolution of functionally relevant expression patterns will require the analysis of large data sets ...

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 ...

Using microarray data alone, they determined the orders in which genes function in a particular pathway in that organism. The protein kinase A (PKA) signaling pathway occurs when the organism ...

The research community's rapid acceptance of microarrays notwithstanding, technical challenges remain. Biochip developers continue to grapple with these issues while upgrading their offerings and ...

There are two key things to know about the new Applied Biosystems™ SwiftArrayStudio™ Microarray Analyzer from Thermo Fisher Scientific, said Ravi Gupta, vice president and general manager of Thermo ...

Spotfire, Inc. has announced DecisionSite® for Microarray Analysis (DSMA), which gives drug makers a competitive advantage in quickly and accurately identifying potential drug targets. DSMA, available ...

Yes, many are attracted to next-generation sequencing, but loyalty to chip-based phenotyping has its rewards, particularly in screens of large sample sets. The microarray, the legacy technology for ...

Ron Peterson, lab head at Novartis Institutes of Biomedical Research, is preparing for a wave of new studies using microarrays. A workhorse genetic testing tool called a microarray got a lot more ...

The power and promise of microarrays are vast. Offering the ability to run tens of thousands of experiments in parallel on a small glass slide, gene chips have transformed functional genomics, whether ...

Motivated by normalizing DNA microarray data and by predicting the interest rates, we explore nonparametric estimation of additive models with highly correlated covariates. We introduce two novel ...