Biological Pattern Discovery With R Machine Learning Approaches

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Biological Pattern Discovery With R: Machine Learning Approaches

Author : Zheng Rong Yang
Publisher : World Scientific
ISBN 13 : 9811240132
Total Pages : 462 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Biological Pattern Discovery With R: Machine Learning Approaches by : Zheng Rong Yang

Download or read book Biological Pattern Discovery With R: Machine Learning Approaches written by Zheng Rong Yang and published by World Scientific. This book was released on 2021-09-17 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the research directions for new or junior researchers who are going to use machine learning approaches for biological pattern discovery. The book was written based on the research experience of the author's several research projects in collaboration with biologists worldwide. The chapters are organised to address individual biological pattern discovery problems. For each subject, the research methodologies and the machine learning algorithms which can be employed are introduced and compared. Importantly, each chapter was written with the aim to help the readers to transfer their knowledge in theory to practical implementation smoothly. Therefore, the R programming environment was used for each subject in the chapters. The author hopes that this book can inspire new or junior researchers' interest in biological pattern discovery using machine learning algorithms.

Biological Pattern Discovery with R

Author : Yang Rong Zheng
Publisher :
ISBN 13 : 9789811240126
Total Pages : 462 pages
Book Rating : 4.2/5 (41 download)

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Book Synopsis Biological Pattern Discovery with R by : Yang Rong Zheng

Download or read book Biological Pattern Discovery with R written by Yang Rong Zheng and published by . This book was released on 2021 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Bio-kernel Machines And Applications

Author : Zheng Rong Yang
Publisher : World Scientific
ISBN 13 : 981128735X
Total Pages : 267 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Bio-kernel Machines And Applications by : Zheng Rong Yang

Download or read book Bio-kernel Machines And Applications written by Zheng Rong Yang and published by World Scientific. This book was released on 2024-03-06 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to its capability of handling very complex problems and its high flexibility in adapting to different algorithms, the kernel machine plays a crucial role in machine learning.Bio-Kernel Machines and Applications will introduce a new type of kernel machine for the exploration and modeling between the genotypic inherent structures of short protein sequences or nucleic sequences and the phenotypic biological properties or functions of proteins or nucleotides.The book seeks to establish the fundamentals of the bio-kernel machines by presenting the basic principle and theory of the kernel machine and the various formats of kernel machines, such as string kernel machines adapted for biological applications. The book will also introduce several biological applications of the mutation matrices, demonstrating how mutation matrices can enhance the efficiency and biological relevance of machine learning models applied in specific biological problems.Through analyzing current applications of bio-kernel machines, readers will delve into the advantages of the bio-kernel machines and explore how bio-kernel machines can be further enhanced to tackle a wide spectrum of biological challenges and pave the way for future advancements.

Machine Learning Approaches to Bioinformatics

Author : Zheng Rong Yang
Publisher : World Scientific
ISBN 13 : 9814287318
Total Pages : 337 pages
Book Rating : 4.8/5 (142 download)

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Book Synopsis Machine Learning Approaches to Bioinformatics by : Zheng Rong Yang

Download or read book Machine Learning Approaches to Bioinformatics written by Zheng Rong Yang and published by World Scientific. This book was released on 2010 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers a wide range of subjects in applying machine learning approaches for bioinformatics projects. The book succeeds on two key unique features. First, it introduces the most widely used machine learning approaches in bioinformatics and discusses, with evaluations from real case studies, how they are used in individual bioinformatics projects. Second, it introduces state-of-the-art bioinformatics research methods. The theoretical parts and the practical parts are well integrated for readers to follow the existing procedures in individual research. Unlike most of the bioinformatics books on the market, the content coverage is not limited to just one subject. A broad spectrum of relevant topics in bioinformatics including systematic data mining and computational systems biology researches are brought together in this book, thereby offering an efficient and convenient platform for teaching purposes. An essential reference for both final year undergraduates and graduate students in universities, as well as a comprehensive handbook for new researchers, this book will also serve as a practical guide for software development in relevant bioinformatics projects.

Pattern Classification Using Ensemble Methods

Author : Lior Rokach
Publisher : World Scientific
ISBN 13 : 9814271071
Total Pages : 242 pages
Book Rating : 4.8/5 (142 download)

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Book Synopsis Pattern Classification Using Ensemble Methods by : Lior Rokach

Download or read book Pattern Classification Using Ensemble Methods written by Lior Rokach and published by World Scientific. This book was released on 2010 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: 1. Introduction to pattern classification. 1.1. Pattern classification. 1.2. Induction algorithms. 1.3. Rule induction. 1.4. Decision trees. 1.5. Bayesian methods. 1.6. Other induction methods -- 2. Introduction to ensemble learning. 2.1. Back to the roots. 2.2. The wisdom of crowds. 2.3. The bagging algorithm. 2.4. The boosting algorithm. 2.5. The AdaBoost algorithm. 2.6. No free lunch theorem and ensemble learning. 2.7. Bias-variance decomposition and ensemble learning. 2.8. Occam's razor and ensemble learning. 2.9. Classifier dependency. 2.10. Ensemble methods for advanced classification tasks -- 3. Ensemble classification. 3.1. Fusions methods. 3.2. Selecting classification. 3.3. Mixture of experts and meta learning -- 4. Ensemble diversity. 4.1. Overview. 4.2. Manipulating the inducer. 4.3. Manipulating the training samples. 4.4. Manipulating the target attribute representation. 4.5. Partitioning the search space. 4.6. Multi-inducers. 4.7. Measuring the diversity -- 5. Ensemble selection. 5.1. Ensemble selection. 5.2. Pre selection of the ensemble size. 5.3. Selection of the ensemble size while training. 5.4. Pruning - post selection of the ensemble size -- 6. Error correcting output codes. 6.1. Code-matrix decomposition of multiclass problems. 6.2. Type I - training an ensemble given a code-matrix. 6.3. Type II - adapting code-matrices to the multiclass problems -- 7. Evaluating ensembles of classifiers. 7.1. Generalization error. 7.2. Computational complexity. 7.3. Interpretability of the resulting ensemble. 7.4. Scalability to large datasets. 7.5. Robustness. 7.6. Stability. 7.7. Flexibility. 7.8. Usability. 7.9. Software availability. 7.10. Which ensemble method should be used?

Ensemble Learning: Pattern Classification Using Ensemble Methods (Second Edition)

Author : Lior Rokach
Publisher : World Scientific
ISBN 13 : 9811201978
Total Pages : 301 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Ensemble Learning: Pattern Classification Using Ensemble Methods (Second Edition) by : Lior Rokach

Download or read book Ensemble Learning: Pattern Classification Using Ensemble Methods (Second Edition) written by Lior Rokach and published by World Scientific. This book was released on 2019-02-27 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: This updated compendium provides a methodical introduction with a coherent and unified repository of ensemble methods, theories, trends, challenges, and applications. More than a third of this edition comprised of new materials, highlighting descriptions of the classic methods, and extensions and novel approaches that have recently been introduced.Along with algorithmic descriptions of each method, the settings in which each method is applicable and the consequences and tradeoffs incurred by using the method is succinctly featured. R code for implementation of the algorithm is also emphasized.The unique volume provides researchers, students and practitioners in industry with a comprehensive, concise and convenient resource on ensemble learning methods.

Pattern Recognition and Machine Learning

Author : Christopher M. Bishop
Publisher : Springer
ISBN 13 : 9781493938438
Total Pages : 0 pages
Book Rating : 4.9/5 (384 download)

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Book Synopsis Pattern Recognition and Machine Learning by : Christopher M. Bishop

Download or read book Pattern Recognition and Machine Learning written by Christopher M. Bishop and published by Springer. This book was released on 2016-08-23 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Machine Learning: ECML 2000

Author : Ramon Lopez de Mantaras
Publisher : Springer
ISBN 13 : 3540451641
Total Pages : 469 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Machine Learning: ECML 2000 by : Ramon Lopez de Mantaras

Download or read book Machine Learning: ECML 2000 written by Ramon Lopez de Mantaras and published by Springer. This book was released on 2007-03-06 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: The biennial European Conference on Machine Learning (ECML) series is intended to provide an international forum for the discussion of the latest high quality research results in machine learning and is the major European scienti?c event in the ?eld. The eleventh conference (ECML 2000) held in Barcelona, Catalonia, Spain from May 31 to June 2, 2000, has continued this tradition by attracting high quality papers from around the world. Scientists from 21 countries submitted 100 papers to ECML 2000, from which 20 were selected for long oral presentations and 23 for short oral presentations. This selection was based on the recommendations of at least two reviewers for each submitted paper. It is worth noticing that the number of papers reporting applications of machine learning has increased in comparison to past ECML conferences. We believe this fact shows the growing maturity of the ?eld. This volume contains the 43 accepted papers as well as the invited talks by Katharina Morik from the University of Dortmund and Pedro Domingos from the University of Washington at Seattle. In addition, three workshops were jointly organized by ECML 2000 and the European Network of Excellence - net: “Dealing with Structured Data in Machine Learning and Statistics W- stites”, “Machine Learning in the New Information Age” , and “Meta-Learning: Building Automatic Advice Strategies for Model Selection and Method Com- nation”.

Advances In Genomic Sequence Analysis And Pattern Discovery

Author : Laura Elnitski
Publisher : World Scientific
ISBN 13 : 9814462640
Total Pages : 236 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Advances In Genomic Sequence Analysis And Pattern Discovery by : Laura Elnitski

Download or read book Advances In Genomic Sequence Analysis And Pattern Discovery written by Laura Elnitski and published by World Scientific. This book was released on 2011-01-19 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mapping the genomic landscapes is one of the most exciting frontiers of science. We have the opportunity to reverse engineer the blueprints and the control systems of living organisms. Computational tools are key enablers in the deciphering process. This book provides an in-depth presentation of some of the important computational biology approaches to genomic sequence analysis. The first section of the book discusses methods for discovering patterns in DNA and RNA. This is followed by the second section that reflects on methods in various ways, including performance, usage and paradigms.

Artificial Intelligence

Author :
Publisher : BoD – Books on Demand
ISBN 13 : 1789840171
Total Pages : 142 pages
Book Rating : 4.7/5 (898 download)

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Book Synopsis Artificial Intelligence by :

Download or read book Artificial Intelligence written by and published by BoD – Books on Demand. This book was released on 2019-07-31 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) is taking on an increasingly important role in our society today. In the early days, machines fulfilled only manual activities. Nowadays, these machines extend their capabilities to cognitive tasks as well. And now AI is poised to make a huge contribution to medical and biological applications. From medical equipment to diagnosing and predicting disease to image and video processing, among others, AI has proven to be an area with great potential. The ability of AI to make informed decisions, learn and perceive the environment, and predict certain behavior, among its many other skills, makes this application of paramount importance in today's world. This book discusses and examines AI applications in medicine and biology as well as challenges and opportunities in this fascinating area.

Data Analytics for Protein Crystallization

Author : Marc L. Pusey
Publisher : Springer
ISBN 13 : 3319589377
Total Pages : 245 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Data Analytics for Protein Crystallization by : Marc L. Pusey

Download or read book Data Analytics for Protein Crystallization written by Marc L. Pusey and published by Springer. This book was released on 2017-11-27 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique text/reference presents an overview of the computational aspects of protein crystallization, describing how to build robotic high-throughput and crystallization analysis systems. The coverage encompasses the complete data analysis cycle, including the set-up of screens by analyzing prior crystallization trials, the classification of crystallization trial images by effective feature extraction, the analysis of crystal growth in time series images, the segmentation of crystal regions in images, the application of focal stacking methods for crystallization images, and the visualization of trials. Topics and features: describes the fundamentals of protein crystallization, and the scoring and categorization of crystallization image trials; introduces a selection of computational methods for protein crystallization screening, and the hardware and software architecture for a basic high-throughput system; presents an overview of the image features used in protein crystallization classification, and a spatio-temporal analysis of protein crystal growth; examines focal stacking techniques to avoid blurred crystallization images, and different thresholding methods for binarization or segmentation; discusses visualization methods and software for protein crystallization analysis, and reviews alternative methods to X-ray diffraction for obtaining structural information; provides an overview of the current challenges and potential future trends in protein crystallization. This interdisciplinary work serves as an essential reference on the computational and data analytics components of protein crystallization for the structural biology community, in addition to computer scientists wishing to enter the field of protein crystallization.

Database and Expert Systems Applications - DEXA 2021 Workshops

Author : Gabriele Kotsis
Publisher : Springer Nature
ISBN 13 : 3030871010
Total Pages : 257 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Database and Expert Systems Applications - DEXA 2021 Workshops by : Gabriele Kotsis

Download or read book Database and Expert Systems Applications - DEXA 2021 Workshops written by Gabriele Kotsis and published by Springer Nature. This book was released on 2021-09-20 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the workshops held at the 32nd International Conference on Database and Expert Systems Applications, DEXA 2021, held in a virtual format in September 2021: The 12th International Workshop on Biological Knowledge Discovery from Data (BIOKDD 2021), the 5th International Workshop on Cyber-Security and Functional Safety in Cyber-Physical Systems (IWCFS 2021), the 3rd International Workshop on Machine Learning and Knowledge Graphs (MLKgraphs 2021), the 1st International Workshop on Artificial Intelligence for Clean, Affordable and Reliable Energy Supply (AI-CARES 2021), the 1st International Workshop on Time Ordered Data (ProTime2021), and the 1st International Workshop on AI System Engineering: Math, Modelling and Software (AISys2021). Due to the COVID-19 pandemic the conference and workshops were held virtually. The 23 papers were thoroughly reviewed and selected from 50 submissions, and discuss a range of topics including: knowledge discovery, biological data, cyber security, cyber-physical system, machine learning, knowledge graphs, information retriever, data base, and artificial intelligence.

Recent Trends in Computational Intelligence Enabled Research

Author : Siddhartha Bhattacharyya
Publisher : Academic Press
ISBN 13 : 0323851797
Total Pages : 420 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Recent Trends in Computational Intelligence Enabled Research by : Siddhartha Bhattacharyya

Download or read book Recent Trends in Computational Intelligence Enabled Research written by Siddhartha Bhattacharyya and published by Academic Press. This book was released on 2021-07-31 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of computational intelligence has grown tremendously over that past five years, thanks to evolving soft computing and artificial intelligent methodologies, tools and techniques for envisaging the essence of intelligence embedded in real life observations. Consequently, scientists have been able to explain and understand real life processes and practices which previously often remain unexplored by virtue of their underlying imprecision, uncertainties and redundancies, and the unavailability of appropriate methods for describing the incompleteness and vagueness of information represented. With the advent of the field of computational intelligence, researchers are now able to explore and unearth the intelligence, otherwise insurmountable, embedded in the systems under consideration. Computational Intelligence is now not limited to only specific computational fields, it has made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design to name a few. Recent Trends in Computational Intelligence Enabled Research: Theoretical Foundations and Applications explores the use of this computational paradigm across a wide range of applied domains which handle meaningful information. Chapters investigate a broad spectrum of the applications of computational intelligence across different platforms and disciplines, expanding our knowledge base of various research initiatives in this direction. This volume aims to bring together researchers, engineers, developers and practitioners from academia and industry working in all major areas and interdisciplinary areas of computational intelligence, communication systems, computer networks, and soft computing. - Provides insights into the theory, algorithms, implementation, and application of computational intelligence techniques - Covers a wide range of applications of deep learning across various domains which are researching the applications of computational intelligence - Investigates novel techniques and reviews the state-of-the-art in the areas of machine learning, computer vision, soft computing techniques

Semantic Computing

Author : Phillip Chen-yu Sheu
Publisher : World Scientific Publishing Company
ISBN 13 : 9813227931
Total Pages : 250 pages
Book Rating : 4.8/5 (132 download)

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Book Synopsis Semantic Computing by : Phillip Chen-yu Sheu

Download or read book Semantic Computing written by Phillip Chen-yu Sheu and published by World Scientific Publishing Company. This book was released on 2017-08-23 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the first volume of World Scientific Encyclopedia with Semantic Computing and Robotic Intelligence, this volume is designed to lay the foundation for the understanding of the Semantic Computing (SC), as a core concept to study Robotic Intelligence in the subsequent volumes.This volume aims to provide a reference to the development of Semantic Computing, in the terms of 'meaning', 'context', and 'intention'. It brings together a series of technical notes, in average, no longer than 10 pages in length, each focuses on one topic in Semantic Computing; being review article or research paper, to explain the fundamental concepts, models or algorithms, and possible applications of the technology concerned.This volume will address three core areas in Semantic Computing:

Topics in Grammatical Inference

Author : Jeffrey Heinz
Publisher : Springer
ISBN 13 : 3662483955
Total Pages : 258 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Topics in Grammatical Inference by : Jeffrey Heinz

Download or read book Topics in Grammatical Inference written by Jeffrey Heinz and published by Springer. This book was released on 2016-05-04 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains advanced theoretical and application-related issues in grammatical inference, a research area inside the inductive inference paradigm for machine learning. The first three chapters of the book deal with issues regarding theoretical learning frameworks; the next four chapters focus on the main classes of formal languages according to Chomsky's hierarchy, in particular regular and context-free languages; and the final chapter addresses the processing of biosequences. The topics chosen are of foundational interest with relatively mature and established results, algorithms and conclusions. The book will be of value to researchers and graduate students in areas such as theoretical computer science, machine learning, computational linguistics, bioinformatics, and cognitive psychology who are engaged with the study of learning, especially of the structure underlying the concept to be learned. Some knowledge of mathematics and theoretical computer science, including formal language theory, automata theory, formal grammars, and algorithmics, is a prerequisite for reading this book.

Frontiers in Anti-Cancer Drug Discovery

Author : Atta-ur-Rahman
Publisher : Bentham Science Publishers
ISBN 13 : 1681080583
Total Pages : 280 pages
Book Rating : 4.6/5 (81 download)

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Book Synopsis Frontiers in Anti-Cancer Drug Discovery by : Atta-ur-Rahman

Download or read book Frontiers in Anti-Cancer Drug Discovery written by Atta-ur-Rahman and published by Bentham Science Publishers. This book was released on 2015-05-05 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Frontiers in Anti-Cancer Drug Discovery” is an Ebook series devoted to publishing the latest and the most important advances in Anti-Cancer drug design and discovery. Eminent scientists write contributions on all areas of rational drug design and drug discovery including medicinal chemistry, in-silico drug design, combinatorial chemistry, high-throughput screening, drug targets, recent important patents, and structure-activity relationships. The Ebook series should prove to be of interest to all pharmaceutical scientists involved in research in Anti-Cancer drug design and discovery. Each volume is devoted to the major advances in Anti-Cancer drug design and discovery. The Ebook series is essential reading to all scientists involved in drug design and discovery who wish to keep abreast of rapid and important developments in the field. The fifth volume of the series features chapters on the following topics: -Nutraceuticals and natural food products for cancer treatment -Pharmacogenomics in Anti-cancer treatment -Cancer stem cells -Potassium channel targeting for brain tumor treatment -Sorafenib in the management of hepatocellular carcinoma …and more.

Dynamic and Advanced Data Mining for Progressing Technological Development: Innovations and Systemic Approaches

Author : Ali, A B M Shawkat
Publisher : IGI Global
ISBN 13 : 1605669091
Total Pages : 515 pages
Book Rating : 4.6/5 (56 download)

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Book Synopsis Dynamic and Advanced Data Mining for Progressing Technological Development: Innovations and Systemic Approaches by : Ali, A B M Shawkat

Download or read book Dynamic and Advanced Data Mining for Progressing Technological Development: Innovations and Systemic Approaches written by Ali, A B M Shawkat and published by IGI Global. This book was released on 2009-11-30 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book discusses advances in modern data mining research in today's rapidly growing global and technological environment"--Provided by publisher.