Predictive Modeling of Drug Sensitivity - Softcover

Pal, Ranadip

Softcover

ISBN 10: 0128052740 ISBN 13: 9780128052747

Publisher: Academic Press, 2016

Synopsis

Predictive Modeling of Drug Sensitivity gives an overview of drug sensitivity modeling for personalized medicine that includes data characterizations, modeling techniques, applications, and research challenges. It covers the major mathematical techniques used for modeling drug sensitivity, and includes the requisite biological knowledge to guide a user to apply the mathematical tools in different biological scenarios.

This book is an ideal reference for computer scientists, engineers, computational biologists, and mathematicians who want to understand and apply multiple approaches and methods to drug sensitivity modeling. The reader will learn a broad range of mathematical and computational techniques applied to the modeling of drug sensitivity, biological concepts, and measurement techniques crucial to drug sensitivity modeling, how to design a combination of drugs under different constraints, and the applications of drug sensitivity prediction methodologies.

• Applies mathematical and computational approaches to biological problems
• Covers all aspects of drug sensitivity modeling, starting from initial data generation to final experimental validation
• Includes the latest results on drug sensitivity modeling that is based on updated research findings
• Provides information on existing data and software resources for applying the mathematical and computational tools available

About this title

About the Author

Ranadip Pal is an associate professor in the Electrical and Computer Engineering Department, at the Texas Tech University, USA. His research areas are stochastic modeling and control, genomic signal processing, and computational biology. He is the author of more than 60 peer-reviewed articles including publications in high impact journals such as Nature Medicine and Cancer Cell. He has contributed extensively to robustness analysis of genetic regulatory networks and predictive modeling of drug sensitivity. His research group was a top performer in NCI supported drug sensitivity prediction challenge.

From the Back Cover

This book gives an overview of drug sensitivity modeling for personalized medicine that includes data characterizations, modeling techniques, applications and research challenges. It covers the major mathematical techniques used for modeling drug sensitivity, and includes the requisite biological knowledge to guide a user to apply the mathematical tools in different biological scenarios.

This book is an ideal reference for computer scientists, engineers, computational biologists, and mathematicians who want to understand and apply multiple approaches and methods to drug sensitivity modeling.

The reader will learn:

• A broad range of mathematical and computational techniques applied to the modeling of drug sensitivity.
• Biological concepts and measurement techniques crucial to drug sensitivity modeling.
• How to design a combination of drugs under different constraints.
• The applications of drug sensitivity prediction methodologies.

Key Features:

• Applies mathematical and computational approaches to biological problems.
• Covers all aspects of drug sensitivity modeling, starting from initial data generation to final experimental validation.
• Includes latest results on drug sensitivity modeling based on the latest research findings.
• Provides information on existing data and software resources for applying the mathematical and computational tools available.

Edition details

• Publisher: Academic Press
• Publication date: 2016
• Language: English
• ISBN 10: 0128052740
• ISBN 13: 9780128052747
• Binding: Paperback
• Edition number: 1
• Number of pages: 354