Kategoria BISAC: Science >> Bioinformatics

Data fusion problems arise frequently in many different fields. This book provides a specific introduction to data fusion problems using support vector machines. In the first part, this book begins with a brief survey of additive models and Rayleigh quotient objectives in machine learning, and then introduces kernel fusion as the additive expansion of support vector machines in the dual problem. The second part presents several novel kernel fusion algorithms and some real applications in supervised and unsupervised learning. The last part of the book substantiates the value of the proposed...

BetaSys uses the example of regulated exocytosis in pancreatic β-cells, and its relevance to diabetes, to illustrate the major concepts of systems biology, its methods and applications.

• Leading authors review the state-of-the-art in their field of investigation, and provide their views and perspectives for future research
• Chapters are extensively referenced to provide readers with a comprehensive list of resources...

Statistical learning and analysis techniques have become extremely important today, given the tremendous growth in the size of heterogeneous data collections and the ability to process it even from physically distant locations. Recent advances made in the field of machine learning provide a strong framework for robust learning from the diverse corpora and continue to impact a variety of research problems across multiple scientific disciplines. The aim of this handbook is to familiarize beginners as well as experts with some of the recent techniques in this field.

The Handbook is...

In the current era of complete genome sequencing, Bioinformatics and Molecular Evolution provides an up-to-date and comprehensive introduction to bioinformatics in the context of evolutionary biology.

This accessible text:

• provides a thorough examination of sequence analysis, biological databases, pattern recognition, and applications to genomics, microarrays, and proteomics
• emphasizes the theoretical and statistical methods used in bioinformatics programs in a way that is accessible to biological science students
• places bioinformatics...

Protecting Patient Information: A Decision-Maker's Guide to Risk, Prevention, and Damage Control provides the concrete steps needed to tighten the information security of any healthcare IT system and reduce the risk of exposing patient health information (PHI) to the public. The book offers a systematic, 3-pronged approach for addressing the IT security deficits present in healthcare organizations of all sizes.

Healthcare decision-makers are shown how to conduct an in-depth analysis of their organization's information risk level. After this assessment is complete, the book...