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Data Mining in Bioinformatics (Advanced Information and Knowledge Processing)
Data Mining in Bioinformatics (Advanced Information and Knowledge Processing)
The aim of this book is to introduce the reader to some of the best techniques for data mining in bioinformatics in the hope that the reader will build on them to make new discoveries on his or her own. The book contains twelve chapters in four parts, namely, overview, sequence and structure alignment, biological...
Practical Data Science Cookbook - Real-World Data Science Projects to Help You Get Your Hands On Your Data
Practical Data Science Cookbook - Real-World Data Science Projects to Help You Get Your Hands On Your Data

Key Features

  • Learn how to tackle every step in the data science pipeline and use it to acquire, clean, analyze, and visualize data
  • Get beyond the theory with real-world projects
  • Expand your numerical programming skills through step-by-step code examples and learn more about the robust...
Beginning Python (Programmer to Programmer)
Beginning Python (Programmer to Programmer)
Beginning Python

As a portable, open source, object-oriented programming language, Python combines remarkable power with clear syntax. And, as one of the fastest growing languages, Python manages systems and can be used for data mining and Web development. With this book, you'll learn how to program using the latest release — Python 2.4...

Bioinformatics Programming Using Python: Practical Programming for Biological Data (Animal Guide)
Bioinformatics Programming Using Python: Practical Programming for Biological Data (Animal Guide)

Powerful, flexible, and easy to use, Python is an ideal language for building software tools and applications for life science research and development. This unique book shows you how to program with Python, using code examples taken directly from bioinformatics. In a short time, you'll be using sophisticated techniques and...

Computational Intelligence: Engineering of Hybrid Systems
Computational Intelligence: Engineering of Hybrid Systems

Hybrid Intelligent Systems has become an important research topic in computer science and a key application field in science and engineering. This book offers a gentle introduction to the engineering aspects of hybrid intelligent systems, also emphasizing the interrelation with the main intelligent technologies such as genetic algorithms –...

Bayesian Reasoning and Machine Learning
Bayesian Reasoning and Machine Learning
We live in a world that is rich in data, ever increasing in scale. This data comes from many di erent sources in science (bioinformatics, astronomy, physics, environmental monitoring) and commerce (customer databases, nancial transactions, engine monitoring, speech recognition, surveillance, search). Possessing the knowledge as to...
Programming with Mathematica®: An Introduction
Programming with Mathematica®: An Introduction

Starting from first principles, this book covers all of the foundational material needed to develop a clear understanding of the Mathematica language, with a practical emphasis on solving problems. Concrete examples throughout the text demonstrate how Mathematica language, can be used to solve problems in science, engineering,...

Introduction to Machine Learning (Adaptive Computation and Machine Learning)
Introduction to Machine Learning (Adaptive Computation and Machine Learning)
The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, recognize faces or spoken speech, optimize robot behavior so that a task can be completed...
A Primer for Mathematics Competitions
A Primer for Mathematics Competitions
The importance of mathematics competitions has been widely recognized for three reasons: they help to develop imaginative capacity and thinking skills whose value far transcends mathematics; they constitute the most effective way of discovering and nurturing mathematical talent; and they provide a means to combat the prevalent false image of...
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...

Bioinformatics Biocomputing and Perl: An Introduction to Bioinformatics Computing Skills and Practice
Bioinformatics Biocomputing and Perl: An Introduction to Bioinformatics Computing Skills and Practice

Bioinformatics, Biocomputing and Perl presents an extended tutorial introduction to programming through Perl, the premier programming technology of the bioinformatics community. Even though no previous programming experience is assumed, completing the tutorial equips the reader with the ability to produce powerful custom...

Supervised and Unsupervised Ensemble Methods and their Applications (Studies in Computational Intelligence)
Supervised and Unsupervised Ensemble Methods and their Applications (Studies in Computational Intelligence)
The rapidly growing amount of data, available from different technologies in the field of bio-sciences, high-energy physics, economy, climate analysis, and in several other scientific disciplines, requires a new generation of machine learning and statistical methods to deal with their complexity and heterogeneity. As data collections becomes...
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