Genedata, Merck Study Describes Method To Analyze HCS Data, Improve Hit Selection | GenomeWeb
Researchers at Swiss life sciences software firm Genedata have developed a method to analyze multi-parameter data from high-content screening experiments that uses distance measurements and hierarchical clustering.
The researchers also developed a method to select hits based on machine-learning methods that they claim can increase the hit-verification rate five-fold over conventional methods based on single-readout assays.

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 Science this week: intellectual property landscape of CRISPR genome editing, and more.

A researcher has been convicted of conspiring to steal genetically engineered rice, Reuters reports.

Harvard Medical School's George Church says a woolly mammoth-elephant hybrid is only a few years away, according to the New Scientist.

Intel is ending its sponsorship of the International Science and Engineering Fair, the New York Times reports.