Nature Genetics homepage
Advanced search
 Journal home > Archive > Table of Contents > News and Views > Abstract
Journal home
Advance online publication
Current issue
Archive
Press releases
Free Association (blog)
Supplements
Focuses
Guide to authors
Online submissionOnline submission
For referees
Free online issue
Contact the journal
Subscribe
Advertising
work@npg
Reprints and permissions
About this site
For librarians
 
NPG Resources
Nature
Nature Biotechnology
Nature Cell Biology
Nature Medicine
Nature Methods
Nature Reviews Cancer
Nature Reviews Genetics
Nature Reviews Molecular Cell Biology
news@nature.com
Nature Conferences
RNAi Gateway
NPG Subject areas
Biotechnology
Cancer
Chemistry
Clinical Medicine
Dentistry
Development
Drug Discovery
Earth Sciences
Evolution & Ecology
Genetics
Immunology
Materials Science
Medical Research
Microbiology
Molecular Cell Biology
Neuroscience
Pharmacology
Physics
Browse all publications
News and Views
Nature Genetics  24, 204 - 206 (2000)
doi:10.1038/73392

Making the most of microarray data

Terry Gaasterland & Stefan Bekiranov

Laboratory of Computational Genomics, The Rockefeller University, 1230 York Ave, New York, New York, 10021, USA.
gaasterland@genomes.rockefeller.edu and bek@genomes.rockefeller.edu

The impact of microarray technology on biology will depend on computational methods of data analysis. A supervised computer-learning method using support vector machines predicts gene function from expression data—and shows promise.

 Top
Abstract
Previous | Next
Table of contents
Full textFull text
Download PDFDownload PDF
Send to a friendSend to a friend
Save this linkSave this link

Open Innovation Challenges

  • Single-cell Analysis Platform

    • Deadline: Dec 02 2009
    • Reward: $5,000 USD

    This Challenge is looking for novel approaches to analyzing changes at a single-cell level. This is...

  • Optimizing Sub-cellular Localization Tags

    • Deadline: Nov 29 2009
    • Reward: $20,000 USD

    The Seeker is looking for methods to optimize sub-cellular localization tags for protein expression....

naturejobs

More science jobs
Post a job for free
Figures & Tables
Export citation
natureproducts

Search buyers guide:

 
ADVERTISEMENT
 
Nature Genetics
ISSN: 1061-4036
EISSN: 1546-1718		 Journal home | Advance online publication | Current issue | Archive | Press releases | Supplements | Focuses | For authors | Online submission | Permissions | For referees | Free online issue | About the journal | Contact the journal | Subscribe | Advertising | work@npg | naturereprints | About this site | For librarians
Nature Publishing Group, publisher of Nature, and other science journals and reference works©2000 Nature Publishing Group | Privacy policy