Gene Hunting With Knockoffs For Hidden Markov Models

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Explainable Artificial Intelligence

Author : Luca Longo
Publisher : Springer Nature
ISBN 13 : 3031440641
Total Pages : 711 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Explainable Artificial Intelligence by : Luca Longo

Download or read book Explainable Artificial Intelligence written by Luca Longo and published by Springer Nature. This book was released on 2023-12-05 with total page 711 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume set constitutes the refereed proceedings of the First World Conference on Explainable Artificial Intelligence, xAI 2023, held in Lisbon, Portugal, in July 2023. The 94 papers presented were thoroughly reviewed and selected from the 220 qualified submissions. They are organized in the following topical sections: Part I: Interdisciplinary perspectives, approaches and strategies for xAI; Model-agnostic explanations, methods and techniques for xAI, Causality and Explainable AI; Explainable AI in Finance, cybersecurity, health-care and biomedicine. Part II: Surveys, benchmarks, visual representations and applications for xAI; xAI for decision-making and human-AI collaboration, for Machine Learning on Graphs with Ontologies and Graph Neural Networks; Actionable eXplainable AI, Semantics and explainability, and Explanations for Advice-Giving Systems. Part III: xAI for time series and Natural Language Processing; Human-centered explanations and xAI for Trustworthy and Responsible AI; Explainable and Interpretable AI with Argumentation, Representational Learning and concept extraction for xAI.

Insights in Statistical Genetics and Methodology: 2022

Author : Simon Charles Heath
Publisher : Frontiers Media SA
ISBN 13 : 283253645X
Total Pages : 172 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Insights in Statistical Genetics and Methodology: 2022 by : Simon Charles Heath

Download or read book Insights in Statistical Genetics and Methodology: 2022 written by Simon Charles Heath and published by Frontiers Media SA. This book was released on 2023-10-24 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Research Topic is part of the Insights in Frontiers in Genetics series.

Introduction to Computational Biology

Author : Michael S. Waterman
Publisher : CRC Press
ISBN 13 : 1351437089
Total Pages : 456 pages
Book Rating : 4.3/5 (514 download)

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Book Synopsis Introduction to Computational Biology by : Michael S. Waterman

Download or read book Introduction to Computational Biology written by Michael S. Waterman and published by CRC Press. This book was released on 2018-05-02 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biology is in the midst of a era yielding many significant discoveries and promising many more. Unique to this era is the exponential growth in the size of information-packed databases. Inspired by a pressing need to analyze that data, Introduction to Computational Biology explores a new area of expertise that emerged from this fertile field- the combination of biological and information sciences. This introduction describes the mathematical structure of biological data, especially from sequences and chromosomes. After a brief survey of molecular biology, it studies restriction maps of DNA, rough landmark maps of the underlying sequences, and clones and clone maps. It examines problems associated with reading DNA sequences and comparing sequences to finding common patterns. The author then considers that statistics of pattern counts in sequences, RNA secondary structure, and the inference of evolutionary history of related sequences. Introduction to Computational Biology exposes the reader to the fascinating structure of biological data and explains how to treat related combinatorial and statistical problems. Written to describe mathematical formulation and development, this book helps set the stage for even more, truly interdisciplinary work in biology.

Ridgelets

Author : Emmanuel Jean Candes
Publisher :
ISBN 13 :
Total Pages : 226 pages
Book Rating : 4.:/5 (74 download)

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Book Synopsis Ridgelets by : Emmanuel Jean Candes

Download or read book Ridgelets written by Emmanuel Jean Candes and published by . This book was released on 1998 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Single hidden-layer feedforward neural networks have been proposed as an approach to bypass the curse of dimensionality and are now becoming widely applied to approximation or prediction in applied sciences. In that approach, one approximates a multivariate target function by a sum of ridge functions; this is similar to projection pursuit in the literature of statistics. This approach poses new and challenging questions both at a practical and theorectical level, ranging from the construction of neural networks to their efficiency and capability. The topic of this thesis is to show that ridgelets, a new set of functions, provide an elegant tool to answer some of these fundamental questions ...

Advances in Statistical Bioinformatics

Author : Kim-Anh Do
Publisher : Cambridge University Press
ISBN 13 : 1107027527
Total Pages : 499 pages
Book Rating : 4.1/5 (7 download)

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Book Synopsis Advances in Statistical Bioinformatics by : Kim-Anh Do

Download or read book Advances in Statistical Bioinformatics written by Kim-Anh Do and published by Cambridge University Press. This book was released on 2013-06-10 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the integration of high-throughput bioinformatics data from multiple platforms to inform our understanding of the functional consequences of genomic alterations.

Targeted Learning in Data Science

Author : Mark J. van der Laan
Publisher : Springer
ISBN 13 : 3319653040
Total Pages : 655 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Targeted Learning in Data Science by : Mark J. van der Laan

Download or read book Targeted Learning in Data Science written by Mark J. van der Laan and published by Springer. This book was released on 2018-03-28 with total page 655 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook for graduate students in statistics, data science, and public health deals with the practical challenges that come with big, complex, and dynamic data. It presents a scientific roadmap to translate real-world data science applications into formal statistical estimation problems by using the general template of targeted maximum likelihood estimators. These targeted machine learning algorithms estimate quantities of interest while still providing valid inference. Targeted learning methods within data science area critical component for solving scientific problems in the modern age. The techniques can answer complex questions including optimal rules for assigning treatment based on longitudinal data with time-dependent confounding, as well as other estimands in dependent data structures, such as networks. Included in Targeted Learning in Data Science are demonstrations with soft ware packages and real data sets that present a case that targeted learning is crucial for the next generation of statisticians and data scientists. Th is book is a sequel to the first textbook on machine learning for causal inference, Targeted Learning, published in 2011. Mark van der Laan, PhD, is Jiann-Ping Hsu/Karl E. Peace Professor of Biostatistics and Statistics at UC Berkeley. His research interests include statistical methods in genomics, survival analysis, censored data, machine learning, semiparametric models, causal inference, and targeted learning. Dr. van der Laan received the 2004 Mortimer Spiegelman Award, the 2005 Van Dantzig Award, the 2005 COPSS Snedecor Award, the 2005 COPSS Presidential Award, and has graduated over 40 PhD students in biostatistics and statistics. Sherri Rose, PhD, is Associate Professor of Health Care Policy (Biostatistics) at Harvard Medical School. Her work is centered on developing and integrating innovative statistical approaches to advance human health. Dr. Rose’s methodological research focuses on nonparametric machine learning for causal inference and prediction. She co-leads the Health Policy Data Science Lab and currently serves as an associate editor for the Journal of the American Statistical Association and Biostatistics.

Causal Inference in Statistics, Social, and Biomedical Sciences

Author : Guido W. Imbens
Publisher : Cambridge University Press
ISBN 13 : 0521885884
Total Pages : 647 pages
Book Rating : 4.5/5 (218 download)

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Book Synopsis Causal Inference in Statistics, Social, and Biomedical Sciences by : Guido W. Imbens

Download or read book Causal Inference in Statistics, Social, and Biomedical Sciences written by Guido W. Imbens and published by Cambridge University Press. This book was released on 2015-04-06 with total page 647 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text presents statistical methods for studying causal effects and discusses how readers can assess such effects in simple randomized experiments.

Statistical Learning with Sparsity

Author : Trevor Hastie
Publisher : CRC Press
ISBN 13 : 1498712177
Total Pages : 354 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Statistical Learning with Sparsity by : Trevor Hastie

Download or read book Statistical Learning with Sparsity written by Trevor Hastie and published by CRC Press. This book was released on 2015-05-07 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover New Methods for Dealing with High-Dimensional DataA sparse statistical model has only a small number of nonzero parameters or weights; therefore, it is much easier to estimate and interpret than a dense model. Statistical Learning with Sparsity: The Lasso and Generalizations presents methods that exploit sparsity to help recover the underl

Encyclopedia of Espionage, Intelligence, and Security

Author : K. Lee Lerner
Publisher :
ISBN 13 : 9780787676865
Total Pages : 0 pages
Book Rating : 4.6/5 (768 download)

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Book Synopsis Encyclopedia of Espionage, Intelligence, and Security by : K. Lee Lerner

Download or read book Encyclopedia of Espionage, Intelligence, and Security written by K. Lee Lerner and published by . This book was released on 2004 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Encyclopedia of espionage, intelligence and security (GVRL)

Nonserial Dynamic Programming

Author : Bertele?
Publisher : Academic Press
ISBN 13 : 0080956009
Total Pages : 249 pages
Book Rating : 4.0/5 (89 download)

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Book Synopsis Nonserial Dynamic Programming by : Bertele?

Download or read book Nonserial Dynamic Programming written by Bertele? and published by Academic Press. This book was released on 1972-11-07 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nonserial Dynamic Programming

Kernel Methods in Computational Biology

Author : Bernhard Schölkopf
Publisher : MIT Press
ISBN 13 : 9780262195096
Total Pages : 428 pages
Book Rating : 4.1/5 (95 download)

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Book Synopsis Kernel Methods in Computational Biology by : Bernhard Schölkopf

Download or read book Kernel Methods in Computational Biology written by Bernhard Schölkopf and published by MIT Press. This book was released on 2004 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: A detailed overview of current research in kernel methods and their application to computational biology.

Evolution of Translational Omics

Author : Institute of Medicine
Publisher : National Academies Press
ISBN 13 : 0309224187
Total Pages : 354 pages
Book Rating : 4.3/5 (92 download)

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Book Synopsis Evolution of Translational Omics by : Institute of Medicine

Download or read book Evolution of Translational Omics written by Institute of Medicine and published by National Academies Press. This book was released on 2012-09-13 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technologies collectively called omics enable simultaneous measurement of an enormous number of biomolecules; for example, genomics investigates thousands of DNA sequences, and proteomics examines large numbers of proteins. Scientists are using these technologies to develop innovative tests to detect disease and to predict a patient's likelihood of responding to specific drugs. Following a recent case involving premature use of omics-based tests in cancer clinical trials at Duke University, the NCI requested that the IOM establish a committee to recommend ways to strengthen omics-based test development and evaluation. This report identifies best practices to enhance development, evaluation, and translation of omics-based tests while simultaneously reinforcing steps to ensure that these tests are appropriately assessed for scientific validity before they are used to guide patient treatment in clinical trials.

Lymphocyte Signal Transduction

Author : Constantine Tsoukas
Publisher : Springer
ISBN 13 : 9780387313351
Total Pages : 302 pages
Book Rating : 4.3/5 (133 download)

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Book Synopsis Lymphocyte Signal Transduction by : Constantine Tsoukas

Download or read book Lymphocyte Signal Transduction written by Constantine Tsoukas and published by Springer. This book was released on 2006-05-24 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the third workshop on this topic that took place in Crete from May 27 to June 1, 2005. Similar to the two previous workshops, held in Santorini October 2000 and 2002 respectively, the purpose of this workshop is to bring together scientists from all over the world to discuss their latest findings on the various aspects of lymphocyte signal transduction. The participants represented academia, industry, foundation and governmental laboratories.

Conserving Humanity at the Dawn of Posthuman Technology

Author : Joseph R. Carvalko Jr.
Publisher : Springer Nature
ISBN 13 : 3030264076
Total Pages : 378 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Conserving Humanity at the Dawn of Posthuman Technology by : Joseph R. Carvalko Jr.

Download or read book Conserving Humanity at the Dawn of Posthuman Technology written by Joseph R. Carvalko Jr. and published by Springer Nature. This book was released on 2019-11-30 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume examines the latest scientific and technological developments likely to shape our post-human future. Using a multidisciplinary approach, the author argues that we stand at the precipice of an evolutionary change caused by genetic engineering and anatomically embedded digital and informational technologies. The author delves into current scientific initiatives that will lead to the emergence of super smart individuals with unique creative capacities. He draws on technology, psychology and philosophy to consider humans-as-they-are relative to autonomy, creativity, and their place in a future shared with ‘post humans.’ The author discusses the current state of bioethics and technology law, both which policymakers, beset by a torrent of revolutionary advances in bioengineering, are attempting to steer. Significantly, Carvalko addresses why we must both preserve the narratives that brought us to this moment and continue to express our humanity through, music, art, and literature, to ensure that, as a uniquely creative species, we don’t simply vanish in the ether of an evolution brought about by our own technology.

Elements of Causal Inference

Author : Jonas Peters
Publisher : MIT Press
ISBN 13 : 0262037319
Total Pages : 289 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Elements of Causal Inference by : Jonas Peters

Download or read book Elements of Causal Inference written by Jonas Peters and published by MIT Press. This book was released on 2017-11-29 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data. After explaining the need for causal models and discussing some of the principles underlying causal inference, the book teaches readers how to use causal models: how to compute intervention distributions, how to infer causal models from observational and interventional data, and how causal ideas could be exploited for classical machine learning problems. All of these topics are discussed first in terms of two variables and then in the more general multivariate case. The bivariate case turns out to be a particularly hard problem for causal learning because there are no conditional independences as used by classical methods for solving multivariate cases. The authors consider analyzing statistical asymmetries between cause and effect to be highly instructive, and they report on their decade of intensive research into this problem. The book is accessible to readers with a background in machine learning or statistics, and can be used in graduate courses or as a reference for researchers. The text includes code snippets that can be copied and pasted, exercises, and an appendix with a summary of the most important technical concepts.

Microservices with Spring Boot and Spring Cloud

Author : Magnus Larsson
Publisher : Packt Publishing Ltd
ISBN 13 : 1801079153
Total Pages : 775 pages
Book Rating : 4.8/5 (1 download)

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Book Synopsis Microservices with Spring Boot and Spring Cloud by : Magnus Larsson

Download or read book Microservices with Spring Boot and Spring Cloud written by Magnus Larsson and published by Packt Publishing Ltd. This book was released on 2021-07-29 with total page 775 pages. Available in PDF, EPUB and Kindle. Book excerpt: A step-by-step guide to creating and deploying production-quality microservices-based applications Key FeaturesBuild cloud-native production-ready microservices with this comprehensively updated guideUnderstand the challenges of building large-scale microservice architecturesLearn how to get the best out of Spring Cloud, Kubernetes, and Istio in combinationBook Description With this book, you'll learn how to efficiently build and deploy microservices. This new edition has been updated for the most recent versions of Spring, Java, Kubernetes, and Istio, demonstrating faster and simpler handling of Spring Boot, local Kubernetes clusters, and Istio installation. The expanded scope includes native compilation of Spring-based microservices, support for Mac and Windows with WSL2, and an introduction to Helm 3 for packaging and deployment. A revamped security chapter now follows the OAuth 2.1 specification and makes use of the newly launched Spring Authorization Server from the Spring team. Starting with a set of simple cooperating microservices, you'll add persistence and resilience, make your microservices reactive, and document their APIs using OpenAPI. You’ll understand how fundamental design patterns are applied to add important functionality, such as service discovery with Netflix Eureka and edge servers with Spring Cloud Gateway. You’ll learn how to deploy your microservices using Kubernetes and adopt Istio. You'll explore centralized log management using the Elasticsearch, Fluentd, and Kibana (EFK) stack and monitor microservices using Prometheus and Grafana. By the end of this book, you'll be confident in building microservices that are scalable and robust using Spring Boot and Spring Cloud. What you will learnBuild reactive microservices using Spring BootDevelop resilient and scalable microservices using Spring CloudUse OAuth 2.1/OIDC and Spring Security to protect public APIsImplement Docker to bridge the gap between development, testing, and productionDeploy and manage microservices with KubernetesApply Istio for improved security, observability, and traffic managementWrite and run automated microservice tests with JUnit, testcontainers, Gradle, and bashWho this book is for If you are a Java or Spring Boot developer who wants to learn how to build microservice landscapes from scratch, this book is for you. No familiarity with microservices architecture is required.

Handbook of Big Data

Author : Peter Bühlmann
Publisher : CRC Press
ISBN 13 : 1482249081
Total Pages : 480 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Handbook of Big Data by : Peter Bühlmann

Download or read book Handbook of Big Data written by Peter Bühlmann and published by CRC Press. This book was released on 2016-02-22 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Big Data provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from well-known experts in statistics and computer science, this handbook presents a carefully curated collection of techniques from both industry and academia. Thus, the text instills a working understanding of key statistical