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Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave rise to a new class of theoretically elegant learning machines that use a central concept of SVMs—-kernels--for a number of learning tasks. Kernel machines provide a modular framework...
Algorithms in Bioinformatics
Algorithms in Bioinformatics

The present volume is dedicated to aspects of algorithmic work in bioinformat ics and computational biology with an emphasis on string algorithms that play a central role in the analysis of biological sequences. The papers included are a selection of articles corresponding to talks given at one of two meetings spon sored by The Royal...

Outcome Prediction in Cancer
Outcome Prediction in Cancer

This book is organized into 4 sections, each looking at the question of outcome prediction in cancer from a different angle. The first section describes the clinical problem and some of the predicaments that clinicians face in dealing with cancer. Amongst issues discussed in this section are the TNM staging, accepted methods for survival...

Harper's Illustrated Biochemistry
Harper's Illustrated Biochemistry
Sci-Tech Book News : "Originally published in 1939, this enduring reference/text continues with its mission to introduce biochemistry concepts to medical and health sciences students in concise text supported with graphs, charts, and diagrams. Updating the 2003 26th edition (which was drastically revised to make it shorter), the 27th...
R Programming for Bioinformatics (Chapman & Hall/Crc Computer Science & Data Analysis)
R Programming for Bioinformatics (Chapman & Hall/Crc Computer Science & Data Analysis)

Shows how R can be used to solve bioinformatics and computational biology problems
Due to its data handling and modeling capabilities as well as its flexibility, R is becoming the most widely used software in bioinformatics. R Programming for Bioinformatics explores the programming skills needed to use this
...

Data Management and Analysis: Case Studies in Education, Healthcare and Beyond (Studies in Big Data)
Data Management and Analysis: Case Studies in Education, Healthcare and Beyond (Studies in Big Data)
Data management and analysis is one of the fastest growing and most challenging areas of research and development in both academia and industry. Numerous types of applications and services have been studied and re-examined in this field resulting in this edited volume which includes chapters on effective approaches for dealing with the inherent...
Artificial Neural Networks in Finance and Manufacturing
Artificial Neural Networks in Finance and Manufacturing
Two of the most important factors contributing to national and international economy are processing of information for accurate financial forecasting and decision making as well as processing of information for efficient control of manufacturing systems for increased productivity. The associated problems are very complex and conventional methods...
Natural Products: Drug Discovery and Therapeutic Medicine
Natural Products: Drug Discovery and Therapeutic Medicine

A fresh examination of the past successes of natural products as medicines and their new future from both conventional and new technologies. High-performance liquid chromatography profiling, combinatorial synthesis, genomics, proteomics, DNA shuffling, bioinformatics, and genetic manipulation all now make it possible to rapidly evaluate the...

Targeting Enzymes for Pharmaceutical Development: Methods and Protocols (Methods in Molecular Biology)
Targeting Enzymes for Pharmaceutical Development: Methods and Protocols (Methods in Molecular Biology)
This volume explores detailed methods and experimental protocols evaluating the effect of a compound or a mixture of compounds on the action of enzymes that are significant targets in pharmaceuticals. Consisting of three sections, the book delves into recent biocomputing and bioinformatics protocols, state-of-the art modern biophysical,...
Infectious Disease Informatics
Infectious Disease Informatics

Infectious Diseases Informatics

Edited by

Vitali Sintchenko

The University of Sydney, Sydney, Australia

Preface.- List of contributors.- 1Informatics for Infectious Disease Research and Control.- 2 Bioinformatics of Microbial Sequences.- 3 Mining Databases for Microbial Gene Sequences.- 4 Comparative Genomics of...

Neural Networks and Computing: Learning Algorithms and Applications
Neural Networks and Computing: Learning Algorithms and Applications

The area of Neural computing that we shall discuss in this book represents a combination of techniques of classical optimization, statistics, and information theory. Neural network was once widely called artificial neural networks, which represented how the emerging technology was related to artificial intelligence. It once was a topic that...

The Practical Bioinformatician
The Practical Bioinformatician
Computer scientists have increasingly been enlisted as "bioinformaticians" to assist molecular biologists in their research. This book is a practical introduction to bioinformatics for these computer scientists. The chapters are in-depth discussions by expert bioinformaticians on both general techniques and specific approaches to a range...
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