Pattern Recognition In Bioinformatics PDF Download
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| Author | : Marco Loog |
| Publisher | : Springer |
| Total Pages | : 356 |
| Release | : 2011-10-29 |
| Genre | : Computers |
| ISBN | : 3642248551 |
Download Pattern Recognition in Bioinformatics Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 6th International Conference on Pattern Recognition in Bioinformatics, PRIB 2011, held in Delft, The Netherlands, in November 2011. The 29 revised full papers presented were carefully reviewed and selected from 35 submissions. The papers cover the wide range of possible applications of bioinformatics in pattern recognition: novel algorithms to handle traditional pattern recognition problems such as (bi)clustering, classification and feature selection; applications of (novel) pattern recognition techniques to infer and analyze biological networks and studies on specific problems such as biological image analysis and the relation between sequence and structure. They are organized in the following topical sections: clustering, biomarker selection and classification, network inference and analysis, image analysis, and sequence, structure, and interactions.
| Author | : Pradipta Maji |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 316 |
| Release | : 2014-03-19 |
| Genre | : Computers |
| ISBN | : 3319056301 |
Download Scalable Pattern Recognition Algorithms Book in PDF, ePub and Kindle
This book addresses the need for a unified framework describing how soft computing and machine learning techniques can be judiciously formulated and used in building efficient pattern recognition models. The text reviews both established and cutting-edge research, providing a careful balance of theory, algorithms, and applications, with a particular emphasis given to applications in computational biology and bioinformatics. Features: integrates different soft computing and machine learning methodologies with pattern recognition tasks; discusses in detail the integration of different techniques for handling uncertainties in decision-making and efficiently mining large biological datasets; presents a particular emphasis on real-life applications, such as microarray expression datasets and magnetic resonance images; includes numerous examples and experimental results to support the theoretical concepts described; concludes each chapter with directions for future research and a comprehensive bibliography.
| Author | : Jagath C.- Rajapakse |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 427 |
| Release | : 2007-09-17 |
| Genre | : Science |
| ISBN | : 3540752854 |
Download Pattern Recognition in Bioinformatics Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the International Workshop on Pattern Recognition in Bioinformatics, PRIB 2007, held in Singapore in October 2007. The 38 revised full papers presented were carefully reviewed and selected from 125 submissions. The papers discuss the applications of pattern recognition methods in the field of bioinformatics to solve problems in life sciences.
| Author | : Matteo Comin |
| Publisher | : Springer |
| Total Pages | : 146 |
| Release | : 2014-08-13 |
| Genre | : Computers |
| ISBN | : 3319091921 |
Download Pattern Recognition in Bioinformatics Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 8th IAPR International Conference on Pattern Recognition in Bioinformatics, PRIB 2014, held in Stockholm, Sweden in August 2014. The 9 revised full papers and 9 revised short papers presented were carefully reviewed and selected from 29 submissions. The focus of the conference was on the latest Research in Pattern Recognition and Computational Intelligence-Based Techniques Applied to Problems in Bioinformatics and Computational Biology.
| Author | : Pradipta Maji |
| Publisher | : John Wiley & Sons |
| Total Pages | : 312 |
| Release | : 2012-02-14 |
| Genre | : Technology & Engineering |
| ISBN | : 111800440X |
Download Rough-Fuzzy Pattern Recognition Book in PDF, ePub and Kindle
Learn how to apply rough-fuzzy computing techniques to solve problems in bioinformatics and medical image processing Emphasizing applications in bioinformatics and medical image processing, this text offers a clear framework that enables readers to take advantage of the latest rough-fuzzy computing techniques to build working pattern recognition models. The authors explain step by step how to integrate rough sets with fuzzy sets in order to best manage the uncertainties in mining large data sets. Chapters are logically organized according to the major phases of pattern recognition systems development, making it easier to master such tasks as classification, clustering, and feature selection. Rough-Fuzzy Pattern Recognition examines the important underlying theory as well as algorithms and applications, helping readers see the connections between theory and practice. The first chapter provides an introduction to pattern recognition and data mining, including the key challenges of working with high-dimensional, real-life data sets. Next, the authors explore such topics and issues as: Soft computing in pattern recognition and data mining A mathematical framework for generalized rough sets, incorporating the concept of fuzziness in defining the granules as well as the set Selection of non-redundant and relevant features of real-valued data sets Selection of the minimum set of basis strings with maximum information for amino acid sequence analysis Segmentation of brain MR images for visualization of human tissues Numerous examples and case studies help readers better understand how pattern recognition models are developed and used in practice. This text—covering the latest findings as well as directions for future research—is recommended for both students and practitioners working in systems design, pattern recognition, image analysis, data mining, bioinformatics, soft computing, and computational intelligence.
| Author | : Madhu Chetty |
| Publisher | : Springer |
| Total Pages | : 488 |
| Release | : 2008-10-08 |
| Genre | : Science |
| ISBN | : 354088436X |
Download Pattern Recognition in Bioinformatics Book in PDF, ePub and Kindle
In the post-genomic era, a holistic understanding of biological systems and p- cesses,inalltheircomplexity,is criticalincomprehendingnature’schoreography of life. As a result, bioinformatics involving its two main disciplines, namely, the life sciences and the computational sciences, is fast becoming a very promising multidisciplinary research ?eld. With the ever-increasing application of lar- scalehigh-throughputtechnologies,suchasgeneorproteinmicroarraysandmass spectrometry methods, the enormous body of information is growing rapidly. Bioinformaticians are posed with a large number of di?cult problems to solve, arising not only due to the complexities in acquiring the molecular infor- tion but also due to the size and nature of the generated data sets and/or the limitations of the algorithms required for analyzing these data. Although the ?eld of bioinformatics is still in its embryonic stage, the recent advancements in computational and information-theoretic techniques are enabling us to c- ductvariousinsilicotestingandscreeningofmanylab-basedexperimentsbefore these are actually performed in vitro or in vivo. These in silico investigations are providing new insights for interpretation and establishing a new direction for a deeper understanding. Among the various advanced computational methods currently being applied to such studies, the pattern recognition techniques are mostly found to be at the core of the whole discovery process for apprehending the underlying biological knowledge. Thus, we can safely surmise that the - going bioinformatics revolution may, in future, inevitably play a major role in many aspects of medical practice and/or the discipline of life sciences.
| Author | : Jagath C. Rajapakse |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 197 |
| Release | : 2006-08-10 |
| Genre | : Science |
| ISBN | : 3540374469 |
Download Pattern Recognition in Bioinformatics Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the International Workshop on Pattern Recognition in Bioinformatics, PRIB 2006, held in Hong Kong, within the scope of the 18th International Conference on Pattern Recognition, ICPR 2006. The book presents 19 revised full papers, covering all topics of the creation and maintenance of biological databases, and the discovery of knowledge from life sciences data. Includes an introduction to Pattern Recognition in Bioinformatics.
| Author | : Tetsuo Shibuya |
| Publisher | : Springer |
| Total Pages | : 288 |
| Release | : 2012-11-04 |
| Genre | : Computers |
| ISBN | : 3642341233 |
Download Pattern Recognition in Bioinformatics Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 7th International Conference on Pattern Recognition in Bioinformatics, PRIB 2012, held in Tokyo, Japan, in November 2012. The 24 revised full papers presented were carefully reviewed and selected from 33 submissions. Their topics are widely ranging from fundamental techniques, sequence analysis to biological network analysis. The papers are organized in topical sections on generic methods, visualization, image analysis, and platforms, applications of pattern recognition techniques, protein structure and docking, complex data analysis, and sequence analysis.
| Author | : Sankar K. Pal |
| Publisher | : Springer |
| Total Pages | : 241 |
| Release | : 2017-05-02 |
| Genre | : Technology & Engineering |
| ISBN | : 331957115X |
Download Granular Neural Networks, Pattern Recognition and Bioinformatics Book in PDF, ePub and Kindle
This book provides a uniform framework describing how fuzzy rough granular neural network technologies can be formulated and used in building efficient pattern recognition and mining models. It also discusses the formation of granules in the notion of both fuzzy and rough sets. Judicious integration in forming fuzzy-rough information granules based on lower approximate regions enables the network to determine the exactness in class shape as well as to handle the uncertainties arising from overlapping regions, resulting in efficient and speedy learning with enhanced performance. Layered network and self-organizing analysis maps, which have a strong potential in big data, are considered as basic modules,. The book is structured according to the major phases of a pattern recognition system (e.g., classification, clustering, and feature selection) with a balanced mixture of theory, algorithm, and application. It covers the latest findings as well as directions for future research, particularly highlighting bioinformatics applications. The book is recommended for both students and practitioners working in computer science, electrical engineering, data science, system design, pattern recognition, image analysis, neural computing, social network analysis, big data analytics, computational biology and soft computing.
| Author | : Tjeerd M.H. Dijkstra |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 458 |
| Release | : 2010-09-20 |
| Genre | : Science |
| ISBN | : 364216000X |
Download Pattern Recognition in Bioinformatics Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 5th International Conference on Pattern Recognition in Bioinformatics, PRIB 2010, held in Nijmegen, The Netherlands, in September 2010. The 38 revised full papers presented were carefully reviewed and selected from 46 submissions. The field of bioinformatics has two main objectives: the creation and maintenance of biological databases and the analysis of life sciences data in order to unravel the mysteries of biological function. Computer science methods such as pattern recognition, machine learning, and data mining have a great deal to offer the field of bioinformatics.
