Statistical Methods For Annotation Analysis

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Statistical Methods for Annotation Analysis

Author : Silviu Paun
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1636392547
Total Pages : 218 pages
Book Rating : 4.6/5 (363 download)

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Book Synopsis Statistical Methods for Annotation Analysis by : Silviu Paun

Download or read book Statistical Methods for Annotation Analysis written by Silviu Paun and published by Morgan & Claypool Publishers. This book was released on 2022-01-13 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Labelling data is one of the most fundamental activities in science, and has underpinned practice, particularly in medicine, for decades, as well as research in corpus linguistics since at least the development of the Brown corpus. With the shift towards Machine Learning in Artificial Intelligence (AI), the creation of datasets to be used for training and evaluating AI systems, also known in AI as corpora, has become a central activity in the field as well. Early AI datasets were created on an ad-hoc basis to tackle specific problems. As larger and more reusable datasets were created, requiring greater investment, the need for a more systematic approach to dataset creation arose to ensure increased quality. A range of statistical methods were adopted, often but not exclusively from the medical sciences, to ensure that the labels used were not subjective, or to choose among different labels provided by the coders. A wide variety of such methods is now in regular use. This book is meant to provide a survey of the most widely used among these statistical methods supporting annotation practice. As far as the authors know, this is the first book attempting to cover the two families of methods in wider use. The first family of methods is concerned with the development of labelling schemes and, in particular, ensuring that such schemes are such that sufficient agreement can be observed among the coders. The second family includes methods developed to analyze the output of coders once the scheme has been agreed upon, particularly although not exclusively to identify the most likely label for an item among those provided by the coders. The focus of this book is primarily on Natural Language Processing, the area of AI devoted to the development of models of language interpretation and production, but many if not most of the methods discussed here are also applicable to other areas of AI, or indeed, to other areas of Data Science.

Statistical Methods for Annotation Analysis

Author : Silviu Paun
Publisher : Springer Nature
ISBN 13 : 3031037634
Total Pages : 208 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Statistical Methods for Annotation Analysis by : Silviu Paun

Download or read book Statistical Methods for Annotation Analysis written by Silviu Paun and published by Springer Nature. This book was released on 2022-05-31 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Labelling data is one of the most fundamental activities in science, and has underpinned practice, particularly in medicine, for decades, as well as research in corpus linguistics since at least the development of the Brown corpus. With the shift towards Machine Learning in Artificial Intelligence (AI), the creation of datasets to be used for training and evaluating AI systems, also known in AI as corpora, has become a central activity in the field as well. Early AI datasets were created on an ad-hoc basis to tackle specific problems. As larger and more reusable datasets were created, requiring greater investment, the need for a more systematic approach to dataset creation arose to ensure increased quality. A range of statistical methods were adopted, often but not exclusively from the medical sciences, to ensure that the labels used were not subjective, or to choose among different labels provided by the coders. A wide variety of such methods is now in regular use. This book is meant to provide a survey of the most widely used among these statistical methods supporting annotation practice. As far as the authors know, this is the first book attempting to cover the two families of methods in wider use. The first family of methods is concerned with the development of labelling schemes and, in particular, ensuring that such schemes are such that sufficient agreement can be observed among the coders. The second family includes methods developed to analyze the output of coders once the scheme has been agreed upon, particularly although not exclusively to identify the most likely label for an item among those provided by the coders. The focus of this book is primarily on Natural Language Processing, the area of AI devoted to the development of models of language interpretation and production, but many if not most of the methods discussed here are also applicable to other areas of AI, or indeed, to other areas of Data Science.

Statistical Methods in Language and Linguistic Research

Author : Pascual Cantos Gómez
Publisher : Equinox Publishing (Indonesia)
ISBN 13 : 9781845534318
Total Pages : 260 pages
Book Rating : 4.5/5 (343 download)

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Book Synopsis Statistical Methods in Language and Linguistic Research by : Pascual Cantos Gómez

Download or read book Statistical Methods in Language and Linguistic Research written by Pascual Cantos Gómez and published by Equinox Publishing (Indonesia). This book was released on 2013-01-01 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: The linguistic community tend to regard statistical methods, or more generally quantitative techniques, with a certain amount of fear and suspicion. There is a feeling that statistics falls in the province of science and mathematics and such methods may destroy the magic of the literary text. This book seeks to make quantitative methods and statistical techniques less forbidding and show how they can contribute to linguistic analysis and research. It present some mathematical and statistical properties of natural languages and introduces some of the quantitative methods which are of the most value in working empirically with texts and corpora. The various issues are illustrated with helpful examples from the most basic descriptive techniques to decision-taking techniques and to more sophisticated multivariate statistical language models.

Natural Language Annotation for Machine Learning

Author : James Pustejovsky
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449306667
Total Pages : 344 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Natural Language Annotation for Machine Learning by : James Pustejovsky

Download or read book Natural Language Annotation for Machine Learning written by James Pustejovsky and published by "O'Reilly Media, Inc.". This book was released on 2013 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Includes bibliographical references (p. 305-315) and index.

Statistical Methods for Meta-Analysis

Author : Larry V. Hedges
Publisher : Academic Press
ISBN 13 : 0080570658
Total Pages : 392 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Statistical Methods for Meta-Analysis by : Larry V. Hedges

Download or read book Statistical Methods for Meta-Analysis written by Larry V. Hedges and published by Academic Press. This book was released on 2014-06-28 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main purpose of this book is to address the statistical issues for integrating independent studies. There exist a number of papers and books that discuss the mechanics of collecting, coding, and preparing data for a meta-analysis , and we do not deal with these. Because this book concerns methodology, the content necessarily is statistical, and at times mathematical. In order to make the material accessible to a wider audience, we have not provided proofs in the text. Where proofs are given, they are placed as commentary at the end of a chapter. These can be omitted at the discretion of the reader.Throughout the book we describe computational procedures whenever required. Many computations can be completed on a hand calculator, whereas some require the use of a standard statistical package such as SAS, SPSS, or BMD. Readers with experience using a statistical package or who conduct analyses such as multiple regression or analysis of variance should be able to carry out the analyses described with the aid of a statistical package.

Handbook of Statistical Genomics

Author : David J. Balding
Publisher : John Wiley & Sons
ISBN 13 : 1119429250
Total Pages : 1740 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Handbook of Statistical Genomics by : David J. Balding

Download or read book Handbook of Statistical Genomics written by David J. Balding and published by John Wiley & Sons. This book was released on 2019-07-09 with total page 1740 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely update of a highly popular handbook on statistical genomics This new, two-volume edition of a classic text provides a thorough introduction to statistical genomics, a vital resource for advanced graduate students, early-career researchers and new entrants to the field. It introduces new and updated information on developments that have occurred since the 3rd edition. Widely regarded as the reference work in the field, it features new chapters focusing on statistical aspects of data generated by new sequencing technologies, including sequence-based functional assays. It expands on previous coverage of the many processes between genotype and phenotype, including gene expression and epigenetics, as well as metabolomics. It also examines population genetics and evolutionary models and inference, with new chapters on the multi-species coalescent, admixture and ancient DNA, as well as genetic association studies including causal analyses and variant interpretation. The Handbook of Statistical Genomics focuses on explaining the main ideas, analysis methods and algorithms, citing key recent and historic literature for further details and references. It also includes a glossary of terms, acronyms and abbreviations, and features extensive cross-referencing between chapters, tying the different areas together. With heavy use of up-to-date examples and references to web-based resources, this continues to be a must-have reference in a vital area of research. Provides much-needed, timely coverage of new developments in this expanding area of study Numerous, brand new chapters, for example covering bacterial genomics, microbiome and metagenomics Detailed coverage of application areas, with chapters on plant breeding, conservation and forensic genetics Extensive coverage of human genetic epidemiology, including ethical aspects Edited by one of the leading experts in the field along with rising stars as his co-editors Chapter authors are world-renowned experts in the field, and newly emerging leaders. The Handbook of Statistical Genomics is an excellent introductory text for advanced graduate students and early-career researchers involved in statistical genetics.

Statistical Methods, Computing, and Resources for Genome-Wide Association Studies

Author : Riyan Cheng
Publisher : Frontiers Media SA
ISBN 13 : 2889712125
Total Pages : 148 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis Statistical Methods, Computing, and Resources for Genome-Wide Association Studies by : Riyan Cheng

Download or read book Statistical Methods, Computing, and Resources for Genome-Wide Association Studies written by Riyan Cheng and published by Frontiers Media SA. This book was released on 2021-08-24 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Bioinformatics in Aquaculture

Author : Zhanjiang (John) Liu
Publisher : John Wiley & Sons
ISBN 13 : 1118782380
Total Pages : 595 pages
Book Rating : 4.1/5 (187 download)

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Book Synopsis Bioinformatics in Aquaculture by : Zhanjiang (John) Liu

Download or read book Bioinformatics in Aquaculture written by Zhanjiang (John) Liu and published by John Wiley & Sons. This book was released on 2017-01-30 with total page 595 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bioinformatics derives knowledge from computer analysis of biological data. In particular, genomic and transcriptomic datasets are processed, analysed and, whenever possible, associated with experimental results from various sources, to draw structural, organizational, and functional information relevant to biology. Research in bioinformatics includes method development for storage, retrieval, and analysis of the data. Bioinformatics in Aquaculture provides the most up to date reviews of next generation sequencing technologies, their applications in aquaculture, and principles and methodologies for the analysis of genomic and transcriptomic large datasets using bioinformatic methods, algorithm, and databases. The book is unique in providing guidance for the best software packages suitable for various analysis, providing detailed examples of using bioinformatic software and command lines in the context of real world experiments. This book is a vital tool for all those working in genomics, molecular biology, biochemistry and genetics related to aquaculture, and computational and biological sciences.

Practical Data Analytics for Innovation in Medicine

Author : Gary D. Miner
Publisher : Academic Press
ISBN 13 : 0323952755
Total Pages : 578 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Practical Data Analytics for Innovation in Medicine by : Gary D. Miner

Download or read book Practical Data Analytics for Innovation in Medicine written by Gary D. Miner and published by Academic Press. This book was released on 2023-02-08 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research Using AI, ML, and Related Technologies, Second Edition discusses the needs of healthcare and medicine in the 21st century, explaining how data analytics play an important and revolutionary role. With healthcare effectiveness and economics facing growing challenges, there is a rapidly emerging movement to fortify medical treatment and administration by tapping the predictive power of big data, such as predictive analytics, which can bolster patient care, reduce costs, and deliver greater efficiencies across a wide range of operational functions. Sections bring a historical perspective, highlight the importance of using predictive analytics to help solve health crisis such as the COVID-19 pandemic, provide access to practical step-by-step tutorials and case studies online, and use exercises based on real-world examples of successful predictive and prescriptive tools and systems. The final part of the book focuses on specific technical operations related to quality, cost-effective medical and nursing care delivery and administration brought by practical predictive analytics. Brings a historical perspective in medical care to discuss both the current status of health care delivery worldwide and the importance of using modern predictive analytics to help solve the health care crisis Provides online tutorials on several predictive analytics systems to help readers apply their knowledge on today’s medical issues and basic research Teaches how to develop effective predictive analytic research and to create decisioning/prescriptive analytic systems to make medical decisions quicker and more accurate

Metabolomics

Author : Vijay Soni
Publisher : Springer Nature
ISBN 13 : 3031390946
Total Pages : 527 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Metabolomics by : Vijay Soni

Download or read book Metabolomics written by Vijay Soni and published by Springer Nature. This book was released on 2023-10-24 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book Introduces the extensive applications of metabolomics from all possible areas of research and development so that not only an undergraduate can understand the advancement of metabolomics, but an entrepreneur can harness the knowledge to address possible problems to make a perfect tool to address their research question. Topics covered include the role of metabolomics in the development of agriculture, plant pathology, and their applications; the generalized application of the metabolomics and use of related technologies in various sectors of industries; and the future of metabolomics and upcoming related technologies that can fill the gap between different -omics and their applications for the betterment of humankind. This is an ideal book for university professors, researchers, and advanced-level scientists who are exploring different avenues in metabolomics. Availability of this concise information in one place will aid scientists by expanding their arsenal of techniques and can be helpful to bring more collaborations and to identify the expert at the global level.

Handbook of Statistical Genetics

Author : David J. Balding
Publisher : John Wiley & Sons
ISBN 13 : 9780470997628
Total Pages : 1616 pages
Book Rating : 4.9/5 (976 download)

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Book Synopsis Handbook of Statistical Genetics by : David J. Balding

Download or read book Handbook of Statistical Genetics written by David J. Balding and published by John Wiley & Sons. This book was released on 2008-06-10 with total page 1616 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook for Statistical Genetics is widely regarded as the reference work in the field. However, the field has developed considerably over the past three years. In particular the modeling of genetic networks has advanced considerably via the evolution of microarray analysis. As a consequence the 3rd edition of the handbook contains a much expanded section on Network Modeling, including 5 new chapters covering metabolic networks, graphical modeling and inference and simulation of pedigrees and genealogies. Other chapters new to the 3rd edition include Human Population Genetics, Genome-wide Association Studies, Family-based Association Studies, Pharmacogenetics, Epigenetics, Ethic and Insurance. As with the second Edition, the Handbook includes a glossary of terms, acronyms and abbreviations, and features extensive cross-referencing between the chapters, tying the different areas together. With heavy use of up-to-date examples, real-life case studies and references to web-based resources, this continues to be must-have reference in a vital area of research. Edited by the leading international authorities in the field. David Balding - Department of Epidemiology & Public Health, Imperial College An advisor for our Probability & Statistics series, Professor Balding is also a previous Wiley author, having written Weight-of-Evidence for Forensic DNA Profiles, as well as having edited the two previous editions of HSG. With over 20 years teaching experience, he’s also had dozens of articles published in numerous international journals. Martin Bishop – Head of the Bioinformatics Division at the HGMP Resource Centre As well as the first two editions of HSG, Dr Bishop has edited a number of introductory books on the application of informatics to molecular biology and genetics. He is the Associate Editor of the journal Bioinformatics and Managing Editor of Briefings in Bioinformatics. Chris Cannings – Division of Genomic Medicine, University of Sheffield With over 40 years teaching in the area, Professor Cannings has published over 100 papers and is on the editorial board of many related journals. Co-editor of the two previous editions of HSG, he also authored a book on this topic.

Linguistics

Author : Ron Legarski
Publisher : SolveForce
ISBN 13 :
Total Pages : 2203 pages
Book Rating : 4./5 ( download)

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Book Synopsis Linguistics by : Ron Legarski

Download or read book Linguistics written by Ron Legarski and published by SolveForce. This book was released on 2024-08-27 with total page 2203 pages. Available in PDF, EPUB and Kindle. Book excerpt: Linguistics: The Study of Language is an insightful exploration into the world of language and its intricate structure. This book offers a comprehensive guide through the various branches of linguistics, providing readers with an in-depth understanding of how language is formed, used, and evolves over time. From the basics of phonetics and phonology to the complexities of syntax and semantics, this book covers every aspect of language study. It delves into the cognitive processes behind language acquisition, the social factors influencing language use, and the neural mechanisms that enable language processing in the brain. Each chapter is meticulously structured to guide the reader through the foundational concepts and advanced topics, making it an essential resource for both beginners and seasoned linguists. The book also touches on the practical applications of linguistics in the real world, including language teaching, translation, computational linguistics, and forensic analysis. By examining the role of language in society and the impact of technology on communication, this book equips readers with the knowledge to understand the ever-evolving nature of human language. Whether you’re a student of linguistics, a language enthusiast, or someone interested in understanding the nuances of human communication, Linguistics: The Study of Language provides a clear and engaging overview of one of humanity’s most fundamental tools.

Advances in Intelligent Automation and Soft Computing

Author : Xiaolong Li
Publisher : Springer Nature
ISBN 13 : 3030810070
Total Pages : 1317 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Advances in Intelligent Automation and Soft Computing by : Xiaolong Li

Download or read book Advances in Intelligent Automation and Soft Computing written by Xiaolong Li and published by Springer Nature. This book was released on 2021-07-26 with total page 1317 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents select proceedings of the International Conference on Intelligent Automation and Soft Computing (IASC2021). Various topics covered in this book include AI algorithm, neural networks, pattern recognition, machine learning, blockchain technology, system engineering, computer vision and image processing, adaptive control and robotics, big data and data processing, networking and security. The book is a valuable reference for beginners, researchers, and professionals interested in artificial intelligence, automation, and soft computing.

Statistics in Corpus Linguistics Research

Author : Sean Wallis
Publisher : Routledge
ISBN 13 : 0429958668
Total Pages : 435 pages
Book Rating : 4.4/5 (299 download)

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Book Synopsis Statistics in Corpus Linguistics Research by : Sean Wallis

Download or read book Statistics in Corpus Linguistics Research written by Sean Wallis and published by Routledge. This book was released on 2020-11-22 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traditional approaches focused on significance tests have often been difficult for linguistics researchers to visualise. Statistics in Corpus Linguistics Research: A New Approach breaks these significance tests down for researchers in corpus linguistics and linguistic analysis, promoting a visual approach to understanding the performance of tests with real data, and demonstrating how to derive new intervals and tests. Accessibly written, this book discusses the ‘why’ behind the statistical model, allowing readers a greater facility for choosing their own methodologies. Accessibly written for those with little to no mathematical or statistical background, it explains the mathematical fundamentals of simple significance tests by relating them to confidence intervals. With sample datasets and easy-to-read visuals, this book focuses on practical issues, such as how to: • pose research questions in terms of choice and constraint; • employ confidence intervals correctly (including in graph plots); • select optimal significance tests (and what results mean); • measure the size of the effect of one variable on another; • estimate the similarity of distribution patterns; and • evaluate whether the results of two experiments significantly differ. Appropriate for anyone from the student just beginning their career to the seasoned researcher, this book is both a practical overview and valuable resource.

Current Omics Advancement in Plant Abiotic Stress Biology

Author : Deepesh Bhatt
Publisher : Elsevier
ISBN 13 : 044321624X
Total Pages : 489 pages
Book Rating : 4.4/5 (432 download)

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Book Synopsis Current Omics Advancement in Plant Abiotic Stress Biology by : Deepesh Bhatt

Download or read book Current Omics Advancement in Plant Abiotic Stress Biology written by Deepesh Bhatt and published by Elsevier. This book was released on 2024-05-07 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Biotechnology Strategies to Combat Plant Abiotic Stress investigates the causal molecular factors underlying the respective mechanisms orchestrated by plants to help alleviate abiotic stress in which Although knowledge of abiotic stresses in crop plants and high throughput tools and biotechnologies is avaiable, in this book, a systematic effort has been made for integrating omics interventions across major sorts of abiotic stresses with special emphasis to major food crops infused with detailed mechanistic understanding, which would furthermore help contribute in dissecting the interdisciplinary areas of omics-driven plant abiotic stress biology in a much better manner. In 32 chapters Applied Biotechnology Strategies to Combat Plant Abiotic Stress focuses on the integration of multi-OMICS biotechnologies in deciphering molecular intricacies of plant abiotic stress namely drought, salt, cold, heat, heavy metals, in major C3 and C4 food crops. Together with this, the book provides updated knowledge of common and unique set of molecular intricacies playing a vital role in coping up severe abiotic stresses in plants deploying multi-OMICS approaches This book is a valuable resource for early researchers, senior academicians, and scientists in the field of biotechnology, biochemistry, molecular biology, researchers in agriculture and, crops for human foods, and all those who wish to broaden their knowledge in the allied field. - Describes biotechnological strategies to combat plant abiotic stress - Covers the latest evidence based multipronged approaches in understanding omics perspective of stress tolerance - Focuses on the integration of multi-OMICS technologies in deciphering molecular intricacies of plant abiotic stress

Genome Annotation

Author : Jung Soh
Publisher : CRC Press
ISBN 13 : 1439841187
Total Pages : 255 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Genome Annotation by : Jung Soh

Download or read book Genome Annotation written by Jung Soh and published by CRC Press. This book was released on 2016-04-19 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: The success of individualized medicine, advanced crops, and new and sustainable energy sources requires thoroughly annotated genomic information and the integration of this information into a coherent model. A thorough overview of this field, Genome Annotation explores automated genome analysis and annotation from its origins to the challenges of next-generation sequencing data analysis. The book initially takes you through the last 16 years since the sequencing of the first complete microbial genome. It explains how current analysis strategies were developed, including sequencing strategies, statistical models, and early annotation systems. The authors then present visualization techniques for displaying integrated results as well as state-of-the-art annotation tools, including MAGPIE, Ensembl, Bluejay, and Galaxy. They also discuss the pipelines for the analysis and annotation of complex, next-generation DNA sequencing data. Each chapter includes references and pointers to relevant tools. As very few existing genome annotation pipelines are capable of dealing with the staggering amount of DNA sequence information, new strategies must be developed to accommodate the needs of today’s genome researchers. Covering this topic in detail, Genome Annotation provides you with the foundation and tools to tackle this challenging and evolving area. Suitable for both students new to the field and professionals who deal with genomic information in their work, the book offers two genome annotation systems on an accompanying CD-ROM.

Advances in Statistical Methods for the Genetic Dissection of Complex Traits in Plants

Author : Yuan-Ming Zhang
Publisher : Frontiers Media SA
ISBN 13 : 2832543693
Total Pages : 278 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Advances in Statistical Methods for the Genetic Dissection of Complex Traits in Plants by : Yuan-Ming Zhang

Download or read book Advances in Statistical Methods for the Genetic Dissection of Complex Traits in Plants written by Yuan-Ming Zhang and published by Frontiers Media SA. This book was released on 2024-01-26 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genome-wide association studies (GWAS) have been widely used in the genetic dissection of complex traits. However, there are still limits in current GWAS statistics. For example, (1) almost all the existing methods do not estimate additive and dominance effects in quantitative trait nucleotide (QTN) detection; (2) the methods for detecting QTN-by-environment interaction (QEI) are not straightforward and do not estimate additive and dominance effects as well as additive-by-environment and dominance-by-environment interaction effects, leading to unreliable results; and (3) no or too simple polygenic background controls have been employed in QTN-by-QTN interaction (QQI) detection. As a result, few studies of QEI and QQI for complex traits have been reported based on multiple-environment experiments. Recently, new statistical tools, including 3VmrMLM, have been developed to address these needs in GWAS. In 3VmrMLM, all the trait-associated effects, including QTN, QEI and QQI related effects, are compressed into a single effect-related vector, while all the polygenic backgrounds are compressed into a single polygenic effect matrix. These compressed parameters can be accurately and efficiently estimated through a unified mixed model analysis. To further validate these new GWAS methods, particularly 3VmrMLM, they should be rigorously tested in real data of various plants and a wide range of other species.