Learn IT - Books tags bioinformatics

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

John Wiley & Sons, 2004

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...

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

O'Reilly, 2009

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...

Supervised and Unsupervised Ensemble Methods and their Applications (Studies in Computational Intelligence)

Springer, 2008

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...

Prediction of Protein Structures, Functions, and Interactions

John Wiley & Sons, 2009

The growing flood of new experimental data generated by genome sequencing has provided an impetus for the development of automated methods for predicting the functions of proteins that have been deduced by sequence analysis and lack experimental characterization.

Prediction of Protein Structures, Functions and Interactions presents...

Cluster Analysis for Data Mining and System Identification

Birkhauser, 2007

Data clustering is a common technique for statistical data analysis, which is used in many fields, including machine learning, data mining, pattern recognition, image analysis and bioinformatics. Clustering is the classification of similar objects into different groups, or more precisely, the partitioning of a data set into subsets...

Proteomics for Biomarker Discovery: Methods and Protocols (Methods in Molecular Biology, 1959)

Humana Press, 2019

This volume presents modern and enhanced methods that detail techniques to perform proteomics analyses dedicated to biomarker discovery for human health. Chapters guide readers through pre/post analytical factors, protocols for the preparation of extracellular vesicles and exosomes, and various analytical pipelines including Data...

Data Mining with Computational Intelligence (Advanced Information and Knowledge Processing)

Springer, 2005

Nowadays data accumulate at an alarming speed in various storage devices,
and so does valuable information. However, it is difficult to understand information
hidden in data without the aid of data analysis techniques, which
has provoked extensive interest in developing a field separate from machine
learning. This new field is...

Computational Intelligence: Engineering of Hybrid Systems

Springer, 2005

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 –...

Knowledge Discovery in Bioinformatics: Techniques, Methods, and Applications (Wiley Series in Bioinformatics)

John Wiley & Sons, 2007

Wiley Series on Bioinformatics: Computational Techniques and Engineering

Discover how data mining is fueling new discoveries in bioinformatics

As the field of bioinformatics continues to flourish, producing enormous amounts of new data, the need for sophisticated methods of data mining to better manage and extract meaning from...

Bioinformatics: The Machine Learning Approach, Second Edition (Adaptive Computation and Machine Learning)

MIT Press, 2001

We have been very pleased, beyond our expectations, with the reception of the first edition of this book. Bioinformatics, however, continues to evolve very rapidly, hence the need for a new edition. In the past three years, fullgenome sequencing has blossomed with the completion of the sequence of the fly and the first draft of the...

Systems Bioinformatics: An Engineering Case-Based Approach

Artech House Publishers, 2007

The high-throughput nature of bioinformatics and system biology has made traditional biological methods, which tend to focus one or two molecules at a time, obsolete. It has made engineering and problem solving skills essential to attack the resulting complex, multiscale problems. Certain technologies, such as robotics automation, microfabrication,...

Cells and Robots: Modeling and Control of Large-Size Agent Populations (Springer Tracts in Advanced Robotics)

Springer, 2007

From the reviews:

"This interesting monograph is devoted to the study of multi-agent, populations of biological cells and robot teams. … The main objective of the approach is to provide solutions to the problem of how dynamics of an individual agent propagates to the population dynamics. … This original monograph has a wide...

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