HomeAbout

SIGN IN   Advanced Search










 
Browse Biotechnology
Microarray Analysis in Drug Discovery: An Uplifting View of Depression

Genomic profiling provides insights into drug evaluation for diseases without defined molecular mechanisms or cellular assays. Levy provides a brief background in the development of microarray analysis and discussion of the application of this technique to pharmacogenomics. Highlighted is the microarray analysis of primary human neurons treated with antidepressants, antipsychotics, or opioid receptor agonists, demonstrating that these classes of drugs can be properly categorized by using two different statistical analysis methods: classification tree and random forest. Not only is microarray analysis valuable for drug evaluation and leading candidate development, but the genes identified as markers for the various drug classifications point to new directions for research into the underlying pathways responsible for human diseases, such as depression and psychosis.

Rate this Resource:
1 = not useful, 5 = very useful

Please be the first to rate this resource.


Subscribe and
View Resource

Classifications


Resource Type: Diagram, Illustration, Journal article/Issue
Audience Level: Undergraduate upper division 15-16, Graduate, Professional (degree program)

Author and Copyright


Authors and Editors: Shawn E. Levy of Department of Biomedical Informatics, Vanderbilt University Medical Center
Publisher: American Association for the Advancement of Science
Format: application/pdf, image/gif, image/jpeg, text/html
Copyright and other restrictions: Yes
Cost: Yes

Comments


» Sign In or register to post comments.


Collection:
STKE/Science Signaling


     
   

SITE MAP | CONTACT | POLICIES

Triple A S National Science Foundation Naitonal Science Digital Library Pathway
Funded by the individual BEN Collaborators and grants from the
National Science Foundation [DUE 0085840 / DUE 0226185 / DUE 0532797 / DUE 0734995]

This website is a National Science Digital Library (NSDL) Pathway.
Copyright © 2019. American Association for the Advancement of Science. All Rights Reserved.