Learning and Inference in Computational Systems Biology

by Mark Girolami and Magnus Rattray

Tools and techniques for biological inference problems at scales ranging from genome-wide to pathway-specific.

Computational systems biology unifies the mechanistic approach of systems biology with the data-driven approach of computational biology. Computational systems biology aims to develop algorithms that uncover the structure and parameterization of the underlying mechanistic model--in other words, to answer specific questions...

• Format: Hardcover
• Language: English
• ISBN: 026201386X
• ISBN13: 9780262013864
• Release Date: December 2009
• Publisher: MIT Press
• Length: 362 Pages
• Weight: 0.70 lbs.
• Dimensions: 0.9" x 7.0" x 9.0"
• Age Range: 18 years and up
• Grade Range: Postsecondary and higher