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High-Throughput Image Reconstruction and Analysis (Bioinformatics & Biomedical Imaging)
High-Throughput Image Reconstruction and Analysis (Bioinformatics & Biomedical Imaging)

Progress in biology is dependent on the ability to observe, measure, and model the behavior of organisms at multiple levels of abstraction, from the microscopic to the macroscopic. There has been a tremendous growth recently in the techniques to probe the structure and workings of cellular and organ-level mechanisms. Significant advances have...

Learning Perl, 5th Edition
Learning Perl, 5th Edition
Learning Perl is designed for those who seek a rapid working knowledge of Perl. A public domain language, Perl has established itself as the premier UNIX scripting language--replacing facilities such as the shell, sed and awk. It is currently taking root in non-UNIX markets as well. Perl is a high-level, multi-purpose language. It is used in...
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...

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...

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

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
Cluster Analysis for Data Mining and System Identification

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)
Proteomics for Biomarker Discovery: Methods and Protocols (Methods in Molecular Biology, 1959)
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)
Data Mining with Computational Intelligence (Advanced Information and Knowledge Processing)
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
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 –...

Knowledge Discovery in Bioinformatics: Techniques, Methods, and Applications (Wiley Series in Bioinformatics)
Knowledge Discovery in Bioinformatics: Techniques, Methods, and Applications (Wiley Series in Bioinformatics)
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)
Bioinformatics: The Machine Learning Approach, Second Edition (Adaptive Computation and Machine Learning)

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...

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