Learn IT - Books tags bioinformatics

Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-way Data Analysis and Blind Source Separation

John Wiley & Sons, 2009

This book provides a broad survey of models and efficient algorithms for Nonnegative Matrix Factorization (NMF). This includes NMF’s various extensions and modifications, especially Nonnegative Tensor Factorizations (NTF) and Nonnegative Tucker Decompositions (NTD). NMF/NTF and their extensions are increasingly used as tools in signal and...

A Statistical Approach to Neural Networks for Pattern Recognition (Wiley Series in Computational Statistics)

John Wiley & Sons, 2007

"The book provides an excellent introduction to neutral networks from a statistical perspective." (International Statistical Review, 2008)

"Successful connects logistic regression and linear discriminant analysis, thus making it critical reference and self-study guide for students and professionals alike in the...

Handbook of Toxicogenomics: A Strategic View of Current Research and Applications

John Wiley & Sons, 2005

Toxicogenomics is a new, dynamic and very promising field that can help optimize toxicity analyses and streamline research into active substances. It is of interest not only for basic research and development, but also from a legal and ethical perspective. Here, experts from all the fields mentioned will find solid information provided by an...

Image Processing: Principles and Applications

John Wiley & Sons, 2005

Image processing—from basics to advanced applications

Learn how to master image processing and compression with this outstanding state-of-the-art reference. From fundamentals to sophisticated applications, Image Processing: Principles and Applications covers multiple topics and provides a fresh perspective on future directions and...

Pattern Recognition, Third Edition

Academic Press, 2006

A classic -- offering comprehensive and unified coverage with a balance between theory and practice!

Pattern recognition is integral to a wide spectrum of scientific disciplines and technologies including image analysis, speech recognition and audio classification, communications, computer-aided diagnosis, data mining. The authors,...

The Structural Representation of Proximity Matrices With Matlab (ASA-SIAM Series on Statistics and Applied Probability)

SIAM, 2006

The Structural Representation of Proximity Matrices with MATLAB presents and demonstrates the use of functions within a MATLAB computational environment, affecting various structural representations for the proximity information that is assumed to be available on a set of objects. The representations included in the book have been developed...

Information Theory and Statistical Learning

Springer, 2008

This book presents theoretical and practical results of information theoretic methods used in the context of statistical learning. Its major goal is to advocate and promote the importance and usefulness of information theoretic concepts for understanding and developing the sophisticated machine learning methods necessary not only...

Massively Parallel Evolutionary Computation on GPGPUs (Natural Computing Series)

Springer, 2013

Evolutionary algorithms (EAs) are metaheuristics that learn from natural collective behavior and are applied to solve optimization problems in domains such as scheduling, engineering, bioinformatics, and finance. Such applications demand acceptable solutions with high-speed execution using finite computational resources. Therefore, there have...

Applications of Computational Intelligence in Biology: Current Trends and Open Problems (Studies in Computational Intelligence)

Springer, 2008

Computational Intelligence (CI) has been a tremendously active area of - search for the past decade or so. There are many successful applications of CI in many sub elds of biology, including bioinformatics, computational - nomics, protein structure prediction, or neuronal systems modeling and an- ysis. However, there still are many open...

Bioinformatics Research and Development: First International Conference, BIRD 2007, Berlin, Germany, March 12-14, 2007, Proceedings

Springer, 2007

This volume contains the papers which were selected for oral presentation at the first Bioinformatics Research and Development (BIRD) conference held in Berlin, Germany during March 12-14, 2007. BIRD covers a wide range of topics related to bioinformatics like microarray data, genomics, single nucleotide polymorphism, sequence analysis, systems...

Data Analysis, Machine Learning and Applications: Proceedings

Springer, 2008

Data analysis and machine learning are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medical science, bioinformatics and business intelligence. This volume...

Programming with Mathematica®: An Introduction

Cambridge University Press, 2013

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,...

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