A Gentle Introduction To Support Vector Machines In Biomedicine

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A Gentle Introduction to Support Vector Machines in Biomedicine

Alexander Statnikov,Constantin F Aliferis,Douglas P Hardin,Isabelle Guyon
A Gentle Introduction to Support Vector Machines in Biomedicine Book PDF

Author : Alexander Statnikov,Constantin F Aliferis,Douglas P Hardin,Isabelle Guyon
Publisher : World Scientific Publishing Company
Page : 212 pages
File Size : 45,8 Mb
Release : 2013-03-21
Category : Computers
ISBN : 9789814518505

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A Gentle Introduction to Support Vector Machines in Biomedicine by Alexander Statnikov,Constantin F Aliferis,Douglas P Hardin,Isabelle Guyon Pdf

Support Vector Machines (SVMs) are among the most important recent developments in pattern recognition and statistical machine learning. They have found a great range of applications in various fields including biology and medicine. However, biomedical researchers often experience difficulties grasping both the theory and applications of these important methods because of lack of technical background. The purpose of this book is to introduce SVMs and their extensions and allow biomedical researchers to understand and apply them in real-life research in a very easy manner. The book is to consist of two volumes: theory and methods (Volume 1) and case studies (Volume 2).

A Gentle Introduction to Support Vector Machines in Biomedicine: Theory and methods

Alexander Statnikov
A Gentle Introduction to Support Vector Machines in Biomedicine Theory and methods Book PDF

Author : Alexander Statnikov
Publisher : World Scientific
Page : 200 pages
File Size : 52,7 Mb
Release : 2011
Category : Computers
ISBN : 9789814324380

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A Gentle Introduction to Support Vector Machines in Biomedicine: Theory and methods by Alexander Statnikov Pdf

Support Vector Machines (SVMs) are among the most important recent developments in pattern recognition and statistical machine learning. They have found a great range of applications in various fields including biology and medicine. However, biomedical researchers often experience difficulties grasping both the theory and applications of these important methods because of lack of technical background. The purpose of this book is to introduce SVMs and their extensions and allow biomedical researchers to understand and apply them in real-life research in a very easy manner. The book is to consist of two volumes: theory and methods (Volume 1) and cases studies (Volume 2).The proposed book follows the approach of ?programmed learning? whereby material is presented in short sections called ?frames?. Each frame consists of a very small amount of information to be learned, a multiple choice quiz, and answers to the quiz. The reader can proceed to the next frame only after verifying the correct answers to the current frame.

A Gentle Introduction to Support Vector Machines in Biomedicine

Alexander Statnikov,Constantin F Aliferis,Douglas P Hardin,Isabelle Guyon
A Gentle Introduction to Support Vector Machines in Biomedicine Book PDF

Author : Alexander Statnikov,Constantin F Aliferis,Douglas P Hardin,Isabelle Guyon
Publisher : World Scientific Publishing Company
Page : 200 pages
File Size : 40,6 Mb
Release : 2011-02-22
Category : Computers
ISBN : 9789813107991

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A Gentle Introduction to Support Vector Machines in Biomedicine by Alexander Statnikov,Constantin F Aliferis,Douglas P Hardin,Isabelle Guyon Pdf

Support Vector Machines (SVMs) are among the most important recent developments in pattern recognition and statistical machine learning. They have found a great range of applications in various fields including biology and medicine. However, biomedical researchers often experience difficulties grasping both the theory and applications of these important methods because of lack of technical background. The purpose of this book is to introduce SVMs and their extensions and allow biomedical researchers to understand and apply them in real-life research in a very easy manner. The book is to consist of two volumes: theory and methods (Volume 1) and case studies (Volume 2).

Big Data-Enabled Nursing

Connie W. Delaney,Charlotte A. Weaver,Judith J. Warren,Thomas R. Clancy,Roy L. Simpson
Big Data Enabled Nursing Book PDF

Author : Connie W. Delaney,Charlotte A. Weaver,Judith J. Warren,Thomas R. Clancy,Roy L. Simpson
Publisher : Springer
Page : 488 pages
File Size : 51,8 Mb
Release : 2017-11-02
Category : Medical
ISBN : 9783319533001

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Big Data-Enabled Nursing by Connie W. Delaney,Charlotte A. Weaver,Judith J. Warren,Thomas R. Clancy,Roy L. Simpson Pdf

Historically, nursing, in all of its missions of research/scholarship, education and practice, has not had access to large patient databases. Nursing consequently adopted qualitative methodologies with small sample sizes, clinical trials and lab research. Historically, large data methods were limited to traditional biostatical analyses. In the United States, large payer data has been amassed and structures/organizations have been created to welcome scientists to explore these large data to advance knowledge discovery. Health systems electronic health records (EHRs) have now matured to generate massive databases with longitudinal trending. This text reflects how the learning health system infrastructure is maturing, and being advanced by health information exchanges (HIEs) with multiple organizations blending their data, or enabling distributed computing. It educates the readers on the evolution of knowledge discovery methods that span qualitative as well as quantitative data mining, including the expanse of data visualization capacities, are enabling sophisticated discovery. New opportunities for nursing and call for new skills in research methodologies are being further enabled by new partnerships spanning all sectors.

Support Vector Machines and Their Application in Chemistry and Biotechnology

Yizeng Liang,Qing-Song Xu,Dong-Sheng Cao,Hong-Dong Li
Support Vector Machines and Their Application in Chemistry and Biotechnology Book PDF

Author : Yizeng Liang,Qing-Song Xu,Dong-Sheng Cao,Hong-Dong Li
Publisher : CRC Press
Page : 211 pages
File Size : 48,6 Mb
Release : 2018-09-10
Category : Electronic
ISBN : 1138381977

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Support Vector Machines and Their Application in Chemistry and Biotechnology by Yizeng Liang,Qing-Song Xu,Dong-Sheng Cao,Hong-Dong Li Pdf

Support vector machines (SVMs) are used in a range of applications, including drug design, food quality control, metabolic fingerprint analysis, and microarray data-based cancer classification. While most mathematicians are well-versed in the distinctive features and empirical performance of SVMs, many chemists and biologists are not as familiar with what they are and how they work. Presenting a clear bridge between theory and application, Support Vector Machines and Their Application in Chemistry and Biotechnology provides a thorough description of the mechanism of SVMs from the point of view of chemists and biologists, enabling them to solve difficult problems with the help of these powerful tools. Topics discussed include: Background and key elements of support vector machines and applications in chemistry and biotechnology Elements and algorithms of support vector classification (SVC) and support vector regression (SVR) machines, along with discussion of simulated datasets The kernel function for solving nonlinear problems by using a simple linear transformation method Ensemble learning of support vector machines Applications of support vector machines to near-infrared data Support vector machines and quantitative structure-activity/property relationship (QSAR/QSPR) Quality control of traditional Chinese medicine by means of the chromatography fingerprint technique The use of support vector machines in exploring the biological data produced in OMICS study Beneficial for chemical data analysis and the modeling of complex physic-chemical and biological systems, support vector machines show promise in a myriad of areas. This book enables non-mathematicians to understand the potential of SVMs and utilize them in a host of applications.

Biodata Mining and Visualization: Novel Approaches

Anonim
Biodata Mining and Visualization Novel Approaches Book PDF

Author : Anonim
Publisher : World Scientific
Page : 324 pages
File Size : 53,5 Mb
Release : 2009
Category : Bioinformatics
ISBN : 9789812790385

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Biodata Mining and Visualization: Novel Approaches by Anonim Pdf

"There is a lack of an exposition on interdisciplinary and innovative methods of data mining and visualization for biodata. This book fills the gap by introducing an interdisciplinary set of the most recent methods and references on novel techniques from artificial intelligence, data mining, engineering, pattern recognition, and ontological data mining fields that are applicable to bioinformatics. The latest novel approaches are explained in detail, their advantages and disadvantages are summarized, and pointers to the future development of new applications are given. By widening the pool from which biologists and bioinformaticians can adopt methods for biodata mining and visualization, computational data mining experts in nonbiological fields are also encouraged to utilize their expertise in order to contribute to the progress of computational biology, thus enhancing the collaboration between these two disciplines."--Publisher's website

Life Science Data Mining

Stephen T. C. Wong,Chung-Sheng Li
Life Science Data Mining Book PDF

Author : Stephen T. C. Wong,Chung-Sheng Li
Publisher : Science, Engineering, and Biol
Page : 394 pages
File Size : 42,9 Mb
Release : 2006
Category : Computers
ISBN : CORNELL:31924108176474

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Life Science Data Mining by Stephen T. C. Wong,Chung-Sheng Li Pdf

This timely book identifies and highlights the latest data mining paradigms to analyze, combine, integrate, model and simulate vast amounts of heterogeneous multi-modal, multi-scale data for emerging real-world applications in life science.The cutting-edge topics presented include bio-surveillance, disease outbreak detection, high throughput bioimaging, drug screening, predictive toxicology, biosensors, and the integration of macro-scale bio-surveillance and environmental data with micro-scale biological data for personalized medicine. This collection of works from leading researchers in the field offers readers an exceptional start in these areas.

Pooling Designs and Nonadaptive Group Testing

Dingzhu Du,Frank Hwang
Pooling Designs and Nonadaptive Group Testing Book PDF

Author : Dingzhu Du,Frank Hwang
Publisher : World Scientific Publishing Company
Page : 258 pages
File Size : 53,8 Mb
Release : 2006
Category : Mathematics
ISBN : UOM:39076002733793

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Pooling Designs and Nonadaptive Group Testing by Dingzhu Du,Frank Hwang Pdf

"Pooling designs have been widely used in various aspects of DNA sequencing. In biological applications, the well-studied mathematical problem called "group testing" shifts its focus to nonadaptive algorithms while the focus of traditional group testing is on sequential algorithms. Biological applications also bring forth new models not previously considered, such as the error-tolerant model, the complex model, and the inhibitor model. This book is the first attempt to collect all the significant research on pooling designs in one convenient place." "The coverage includes many real biological applications such as clone library screening, contig sequencing, exon boundary finding and protein-protein interaction detecting and introduces the mathematics behind it."--BOOK JACKET.

Computational Methods for Understanding Bacterial and Archaeal Genomes

Ying Xu,J. Peter Gogarten
Computational Methods for Understanding Bacterial and Archaeal Genomes Book PDF

Author : Ying Xu,J. Peter Gogarten
Publisher : World Scientific
Page : 494 pages
File Size : 52,8 Mb
Release : 2008
Category : Medical
ISBN : 9781860949821

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Computational Methods for Understanding Bacterial and Archaeal Genomes by Ying Xu,J. Peter Gogarten Pdf

Over 500 prokaryotic genomes have been sequenced to date, and thousands more have been planned for the next few years. While these genomic sequence data provide unprecedented opportunities for biologists to study the world of prokaryotes, they also raise extremely challenging issues such as how to decode the rich information encoded in these genomes. This comprehensive volume includes a collection of cohesively written chapters on prokaryotic genomes, their organization and evolution, the information they encode, and the computational approaches needed to derive such information. A comparative view of bacterial and archaeal genomes, and how information is encoded differently in them, is also presented. Combining theoretical discussions and computational techniques, the book serves as a valuable introductory textbook for graduate-level microbial genomics and informatics courses.

Dive Into Deep Learning

Joanne Quinn,Joanne McEachen,Michael Fullan,Mag Gardner,Max Drummy
Dive Into Deep Learning Book PDF

Author : Joanne Quinn,Joanne McEachen,Michael Fullan,Mag Gardner,Max Drummy
Publisher : Corwin Press
Page : 297 pages
File Size : 47,7 Mb
Release : 2019-07-15
Category : Education
ISBN : 9781544385402

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Dive Into Deep Learning by Joanne Quinn,Joanne McEachen,Michael Fullan,Mag Gardner,Max Drummy Pdf

The leading experts in system change and learning, with their school-based partners around the world, have created this essential companion to their runaway best-seller, Deep Learning: Engage the World Change the World. This hands-on guide provides a roadmap for building capacity in teachers, schools, districts, and systems to design deep learning, measure progress, and assess conditions needed to activate and sustain innovation. Dive Into Deep Learning: Tools for Engagement is rich with resources educators need to construct and drive meaningful deep learning experiences in order to develop the kind of mindset and know-how that is crucial to becoming a problem-solving change agent in our global society. Designed in full color, this easy-to-use guide is loaded with tools, tips, protocols, and real-world examples. It includes: • A framework for deep learning that provides a pathway to develop the six global competencies needed to flourish in a complex world — character, citizenship, collaboration, communication, creativity, and critical thinking. • Learning progressions to help educators analyze student work and measure progress. • Learning design rubrics, templates and examples for incorporating the four elements of learning design: learning partnerships, pedagogical practices, learning environments, and leveraging digital. • Conditions rubrics, teacher self-assessment tools, and planning guides to help educators build, mobilize, and sustain deep learning in schools and districts. Learn about, improve, and expand your world of learning. Put the joy back into learning for students and adults alike. Dive into deep learning to create learning experiences that give purpose, unleash student potential, and transform not only learning, but life itself.

Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques

Abdulhamit Subasi
Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques Book PDF

Author : Abdulhamit Subasi
Publisher : Academic Press
Page : 456 pages
File Size : 41,8 Mb
Release : 2019-03-16
Category : Business & Economics
ISBN : 9780128176733

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Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques by Abdulhamit Subasi Pdf

Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach presents how machine learning and biomedical signal processing methods can be used in biomedical signal analysis. Different machine learning applications in biomedical signal analysis, including those for electrocardiogram, electroencephalogram and electromyogram are described in a practical and comprehensive way, helping readers with limited knowledge. Sections cover biomedical signals and machine learning techniques, biomedical signals, such as electroencephalogram (EEG), electromyogram (EMG) and electrocardiogram (ECG), different signal-processing techniques, signal de-noising, feature extraction and dimension reduction techniques, such as PCA, ICA, KPCA, MSPCA, entropy measures, and other statistical measures, and more. This book is a valuable source for bioinformaticians, medical doctors and other members of the biomedical field who need a cogent resource on the most recent and promising machine learning techniques for biomedical signals analysis. Provides comprehensive knowledge in the application of machine learning tools in biomedical signal analysis for medical diagnostics, brain computer interface and man/machine interaction Explains how to apply machine learning techniques to EEG, ECG and EMG signals Gives basic knowledge on predictive modeling in biomedical time series and advanced knowledge in machine learning for biomedical time series

Computational Biology And Genome Informatics

Paul P Wang,Jason T L Wang,Cathy H Wu
Computational Biology And Genome Informatics Book PDF

Author : Paul P Wang,Jason T L Wang,Cathy H Wu
Publisher : World Scientific
Page : 266 pages
File Size : 48,5 Mb
Release : 2003-02-19
Category : Computers
ISBN : 9789814486798

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Computational Biology And Genome Informatics by Paul P Wang,Jason T L Wang,Cathy H Wu Pdf

This book contains articles written by experts on a wide range of topics that are associated with the analysis and management of biological information at the molecular level. It contains chapters on RNA and protein structure analysis, DNA computing, sequence mapping, genome comparison, gene expression data mining, metabolic network modeling, and phyloinformatics.The important work of some representative researchers in bioinformatics is brought together for the first time in one volume. The topic is treated in depth and is related to, where applicable, other emerging technologies such as data mining and visualization. The goal of the book is to introduce readers to the principle techniques of bioinformatics in the hope that they will build on them to make new discoveries of their own.