Therapeutic Potential of Furin Inhibition : An Evaluation Using a Conditional Furin Knockout Mouse Model (Colloquium Series on Protein Activation and Cancer)

Declercq, Jeroen/ Creemers, Prof. Dr. J.W.M./ Ph.D., A. Majid Khatib, (EDT)

Morgan and Claypool Life Sciences（2012/10発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 30 p.
• 言語 ENG
• 商品コード 9781615045259
• DDC分類 572.6

Full Description

An intelligent agent interacting with the real world will encounter individual people, courses, test results, drugs prescriptions, chairs, boxes, etc., and needs to reason about properties of these individuals and relations among them as well as cope with uncertainty.

Uncertainty has been studied in probability theory and graphical models, and relations have been studied in logic, in particular in the predicate calculus and its extensions. This book examines the foundations of combining logic and probability into what are called relational probabilistic models. It introduces representations, inference, and learning techniques for probability, logic, and their combinations.

The book focuses on two representations in detail: Markov logic networks, a relational extension of undirected graphical models and weighted first-order predicate calculus formula, and Problog, a probabilistic extension of logic programs that can also be viewed as a Turing-complete relational extension of Bayesian networks.

Contents

Background Introduction
Generation of a Conditional Furin Ko Mouse
Furin and Cancer
Furin Inhibitors
Conclusion
References