Learn IT - Books tags bioinformatics

Bioinformatics with Python Cookbook: Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology, 2nd Edition

Packt Publishing, 2018

Discover modern, next-generation sequencing libraries from Python ecosystem to analyze large amounts of biological data

Key Features

Perform complex bioinformatics analysis using the most important Python libraries and applications

Implement next-generation sequencing,...

Reasoning with Probabilistic and Deterministic Graphical Models: Exact Algorithms (Synthesis Lectures on Artificial Intelligence and Machine Learning)

Morgan and Claypool Publishers, 2013

Graphical models (e.g., Bayesian and constraint networks, influence diagrams, and Markov decision processes) have become a central paradigm for knowledge representation and reasoning in both artificial intelligence and computer science in general. These models are used to perform many reasoning tasks, such as scheduling, planning and...

Intelligent Complex Adaptive Systems

IGI Global, 2008

I don’t believe in the existence of a complex systems theory as such and, so far, I’m still referring to complex systems science (CSS) in order to describe my research endeavours. In my view, the latter is constituted, up until now, by a bundle of loosely connected methods and theories aiming to observe— from...

Reconfigurable Computing: Accelerating Computation with Field-Programmable Gate Arrays

Springer, 2005

This volume is unique: the first comprehensive exposition of the exciting new field of Reconfigurable Computing with FPGAs. By mapping algorithms directly into programmable logic, FPGA accelerators offer and deliver 10X-100X performance increases over microprocessors for a large range of application domains. Reconfigurable computing is found in...

Neural Networks in Healthcare: Potential and Challenges

Idea Group Publishing, 2006

Healthcare costs around the globe are on the rise, creating a strong need for new ways of assisting the requirements of the healthcare system. Besides applications in other areas, neural networks have naturally found many promising applications in the health and medicine areas. Neural Networks in Healthcare: Potential and Challenges presents...

Bayesian Reasoning and Machine Learning

Cambridge University Press, 2012

We live in a world that is rich in data, ever increasing in scale. This data comes from many dierent 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...

Success in Evolutionary Computation (Studies in Computational Intelligence)

Springer, 2008

Darwinian evolutionary theory is one of the most important theories in human history for it has equipped us with a valuable tool to understand the amazing world around us. There can be little surprise, therefore, that Evolutionary Computation (EC), inspired by natural evolution, has been so successful in providing high quality solutions in a large...

Pharmaceutical Data Mining: Approaches and Applications for Drug Discovery

John Wiley & Sons, 2009

Leading experts illustrate how sophisticated computational data mining techniques can impact contemporary drug discovery and development

In the era of post-genomic drug development, extracting and applying knowledge from chemical, biological, and clinical data is one of the greatest challenges facing the pharmaceutical industry....

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...

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