Bioinformatics

Though the basic statistical theory behind modern genetics is not that difficult, most statistical genetics papers are not easy to read for beginners, and fitting formulae to a particular area of application quickly becomes very tedious. Introduction to Statistical Methods in Modern Genetics makes a..

This book discusses some of the innumerable ways in which computational methods can be used to facilitate research in biology and medicine - from storing enormous amounts of biological data to solving complex biological problems and enhancing treatment of various grave diseases...

First published in 1985. Routledge is an imprint of Taylor & Francis, an informa company...

Artificial Intelligence (AI) techniques have been successfully applied to the medical domain, and AI systems are being integrated into healthcare. Consistent and easily mass produced, AI systems can make providing healthcare more accurate, less expensive, more available, and more efficient. Organize..

Developments in molecular modeling from experimental and computational techniques have enabled a wide range of biological applications. This timely summary reflects the recent advances in bridging novel algorithms and high performance computing with characterization of important biological processes..

Deriving engineering designs from multiobjective optimization techniques is a challenging task, particularly when design criteria conflict performance requirements. The first book to focus on jumping genes outside bioscience and medicine, Multiobjective Optimization Methodology: A Jumping Gene Appro..

This book addresses the fascinating cross-disciplinary field of quantum information theory applied to the study of brain function, addressing long-standing problems related to consciousness within the framework of modern theoretical physics in a comprehensible manner that elucidates the nature of th..

This handbook on the statistical issues of genomics covers methods and the tried-and-true classical approaches, providing a complete picture of genome statistics. It contains much basic information on the use of statistics in genomics, including how to determine a sample size and carry out a hypothe..

'Urban Design: Health and the Therapeutic Environment' demonstrates how urban design and planning impact on public health and sustainable development. Moughtin et al. explore the concept of what makes a physically and psychologically healthy environment in the context of the paramount need for new h..

This book provides a comprehensive overview of statistical inference for portfolios and their various applications. A variety of asset processes are introduced, including non-Gaussian stationary processes, nonlinear processes, nonstationary processes, and the book provides a framework for statistica..

With extraordinary clarity, Systems Biology: Principles, Methods, and Concepts focuses on the technical practical aspects of modeling complex or organic general systems. It also provides in-depth coverage of modeling biochemical, thermodynamic, engineering, and ecological systems. Among other method..

Featuring chapters written by leading experts in their fields, this second volume of The E-Medicine, E-Health, M-Health, Telemedicine, and Telehealth Handbook discusses telesurgery, medical robotics, and image guidance as well as telenursing and remote patient care. It describes the implementation o..