SAS Institute Looks Toward Genomics; Hopes to Bridge the Gap Between Statistics and Biology | GenomeWeb

Statistical software giant SAS Institute has established a genomics group that will aim to apply its methodology to analyzing gene expression data, Russ Wolfinger, the director of the division told the New England Bioinformatics Group last week.

Wolfinger told those gathered for the first NEBiG meeting of 2001 that a statistical approach to gene expression analysis could improve the accuracy of experimental results.

The method he described uses two interconnected mixed linear models to assess statistical differences in gene expression data from microarrays.

Get the full story with
GenomeWeb Premium

Only $95 for the
first 90 days*

A trial upgrade to GenomeWeb Premium gives you full site access, interest-based email alerts, access to archives, and more. Never miss another important industry story.

Try GenomeWeb Premium now.

Already a GenomeWeb Premium member? Login Now.
Or, See if your institution qualifies for premium access.

*Before your trial expires, we’ll put together a custom quote with your long-term premium options.

Not ready for premium?

Register for Free Content
You can still register for access to our free content.

In PNAS this week: carbapenem resistance in Enterobacteriaceae, selection against educational attainment-linked variants, and more.

Technology Review points out that a new US presidential science advisor hasn't been selected.

Researchers find that blood tests might be able to help determine severity of a concussion, Wired reports.

President-elect Donald Trump considers other candidates for director of the National Institutes of Health, Nature News reports.