Predictive Modeling of Drug Sensitivity

版本说明：1st Edition

作     者：Pal, Ranadip 

I S B N：(纸本) 9780128052747 

出 版 社：Academic Press_RM 

出 版 年：2016年

主 题 词：Computational Biology Computer Vision And Pattern Recognition 

学科分类：07[理学] 08[工学] 09[农学] 070104[理学-应用数学] 071007[理学-遗传学] 090102[农学-作物遗传育种] 0710[理学-生物学] 0831[工学-生物医学工程（可授工学、理学、医学学位）] 1007[医学-药学(可授医学、理学学位)] 0711[理学-系统科学] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 0901[农学-作物学] 0835[工学-软件工程] 0701[理学-数学] 10[医学] 081202[工学-计算机软件与理论] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

摘      要：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 *** mathematical and computational approaches to biological problemsCovers all aspects of drug sensitivity modeling, starting from initial data generation to final experimental validationIncludes the latest results on drug sensitivity modeling that is based on updated research findingsProvides information on existing data and software resources for applying the mathematical and computational tools available