A new probabilistic generative model of parameter inference in biochemical networks

Full Text: PDFPDF Buy this ArticleBuy this Article
Authors: P. Lecca CoSBi, Trento, Italy
A. Palmisano CoSBi, Trento, Italy
C. Priami CoSBi, Trento, Italy
G. Sanguinetti Regent Court, Sheffield, UK
A new probabilistic generative model of parameter inference in biochemical networks Published by ACM 2009 Article
Bibliometrics Data  Bibliometrics
· Downloads (6 Weeks): 1
· Downloads (12 Months): 24
· Downloads (cumulative): 130
· Citation Count: 0

Published in:
Cover Image
 
· Proceeding
SAC '09 Proceedings of the 2009 ACM symposium on Applied Computing
Pages 758-765
ACM New York, NY, USA ©2009
table of contents ISBN: 978-1-60558-166-8 doi>10.1145/1529282.1529442

Tools and Resources

Share:

|
feedback Feedback | Switch to single page view (no tabs)

Powered by The ACM Guide to Computing Literature


The ACM Digital Library is published by the Association for Computing Machinery. Copyright © 2013 ACM, Inc.
Terms of Usage   Privacy Policy   Code of Ethics   Contact Us

Useful downloads: Adobe Acrobat    QuickTime    Windows Media Player    Real Player
The ACM Guide to Computing Literature
All Tags
Export Formats
 
 
Save to Binder