Learn IT - Books tags bioinformatics

Frontiers of Statistical Decision Making and Bayesian Analysis: In Honor of James O. Berger

Springer, 2010

Research in Bayesian analysis and statistical decision theory is rapidly expanding and diversifying, making it increasingly more difficult for any single researcher to stay up to date on all current research frontiers. This book provides a review of current research challenges and opportunities. While the book can not exhaustively cover all...

Bioinformatics: Converting Data to Knowledge, Workshop Summary

National Academy Press, 2002

In 1993 the National Research Council’s Board on Biology established a series of forums on biotechnology. The purpose of the discussions is to foster open communication among scientists, administrators, policy-makers, and others engaged in biotechnology research, development, and commercialization. The neutral setting offered by the National...

XML for Bioinformatics

Springer, 2005

XML for Bioinformatics aims to provide biologists, software engineers, and bioinformatics professionals with a comprehensive introduction to XML and current XML applications in bioinformatics. The book will assume no background in XML, and take readers from basic to intermediate XML concepts. Core topics will include:...

Computational Intelligence for Modelling and Prediction (Studies in Computational Intelligence)

Springer, 2005

Understanding the decision-making processes of living systems, and the efforts to mimic them, are identified with research in Artificial Intelligence (AI). However, the recent popularity of neural networks, fuzzy systems and evolutionary computation, which are widely considered as areas related in AI, has created a need for a new definition to...

Pattern Recognition: An Algorithmic Approach (Undergraduate Topics in Computer Science)

Springer, 2012

Our main aim in writing this book is to make the concepts of pattern recognition clear to undergraduate and postgraduate students of the subject. We will not deal with pre-processing of data. Rather, assuming that patterns are represented using some appropriate pre-processing techniques in the form of vectors of numbers, we will...

Sequence Analysis in a Nutshell

O'Reilly, 2003

Sequence Analysis in a Nutshell: A Guide to Common Tools and Databases pulls together all of the vital information about the most commonly used databases, analytical tools, and tables used in sequence analysis. The book contains details and examples of the common database formats (GenBank, EMBL, SWISS-PROT) and the...

Mac OS X Panther Unleashed (3rd Edition)

Sams Publishing, 2004

Underneath the colorful interface of Mac OS X is a powerful, complicated operating system based on BSD Unix. And, Mac users of all kinds continue to need help both in figuring out how to run OS X and in understanding how OS X works underneath the covers as well as how to get the most out it. In late summer 2003 Apple is expected to release a new...

Mining Graph Data

John Wiley & Sons, 2006

Data mining, or knowledge discovery in databases, is a large area of study and is populated with numerous theoretical and practical textbooks. In this book, we take a focused and comprehensive look at one topic within this field: mining data that is represented as a graph. We attempt to cover the full breadth of the topic, including graph...

Fuzzy Logic: A Spectrum of Theoretical & Practical Issues (Studies in Fuzziness and Soft Computing)

Springer, 2007

This book exclusively surveys the active on-going research of the current maturity of fuzzy logic over the last four decades. Many world leaders of fuzzy logic have enthusiastically contributed their best research results into five theoretical, philosophical and fundamental sub areas and nine distinctive applications, including two PhD...

High-Performance Computing Using FPGAs

Springer, 2013

High-Performance Computing using FPGA covers the area of high performance reconfigurable computing (HPRC). This book provides an overview of architectures, tools and applications for High-Performance Reconfigurable Computing (HPRC). FPGAs offer very high I/O bandwidth and fine-grained, custom and flexible parallelism and with the...

Computational Text Analysis: For Functional Genomics and Bioinformatics

Oxford University Press, 2006

This book brings together the two disparate worlds of computational text analysis and biology and presents some of the latest methods and applications to proteomics, sequence analysis, and gene expression data. Modern genomics generates large and comprehensive data sets but their interpretation requires an understanding of a vast number of genes,...

Multiobjective Genetic Algorithms for Clustering: Applications in Data Mining and Bioinformatics

Springer, 2011

Clustering is an important unsupervised classification technique where a set of patterns, usually vectors in multidimensional space, are grouped into clusters based on some similarity or dissimilarity criteria. In crisp clustering, each pattern is assigned to exactly one cluster, whereas in fuzzy clustering, each pattern is given a...

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