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Author: Nathalie Japkowicz
Publisher: Springer
ISBN: 3319269895
Category : Technology & Engineering
Languages : en
Pages : 334
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Book Description
This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area. It demonstrates that Big Data Analysis opens up new research problems which were either never considered before, or were only considered within a limited range. In addition to providing methodological discussions on the principles of mining Big Data and the difference between traditional statistical data analysis and newer computing frameworks, this book presents recently developed algorithms affecting such areas as business, financial forecasting, human mobility, the Internet of Things, information networks, bioinformatics, medical systems and life science. It explores, through a number of specific examples, how the study of Big Data Analysis has evolved and how it has started and will most likely continue to affect society. While the benefits brought upon by Big Data Analysis are underlined, the book also discusses some of the warnings that have been issued concerning the potential dangers of Big Data Analysis along with its pitfalls and challenges.
Author: Nathalie Japkowicz
Publisher: Springer
ISBN: 3319269895
Category : Technology & Engineering
Languages : en
Pages : 334
Get Book Here
Book Description
This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area. It demonstrates that Big Data Analysis opens up new research problems which were either never considered before, or were only considered within a limited range. In addition to providing methodological discussions on the principles of mining Big Data and the difference between traditional statistical data analysis and newer computing frameworks, this book presents recently developed algorithms affecting such areas as business, financial forecasting, human mobility, the Internet of Things, information networks, bioinformatics, medical systems and life science. It explores, through a number of specific examples, how the study of Big Data Analysis has evolved and how it has started and will most likely continue to affect society. While the benefits brought upon by Big Data Analysis are underlined, the book also discusses some of the warnings that have been issued concerning the potential dangers of Big Data Analysis along with its pitfalls and challenges.
Author: VIRUTI SHIVAN
Publisher: Viruti Satyan Shivan
ISBN:
Category : Science
Languages : en
Pages : 221
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Book Description
Dive into the groundbreaking realm of bioinformatics with "Bioinformatics Scientist- The Comprehensive Guide," your ultimate resource for mastering the intricacies of biological data analysis. This guide demystifies the complex world of genetic codes, protein databases, and computational biology, providing an unparalleled journey into the heart of modern biology. Without the need for images or illustrations, the book focuses purely on the rich, detailed narrative and insightful analyses, ensuring an engaging and immersive reading experience. Whether you're a budding scientist, a seasoned researcher, or simply a curious mind, this book promises to transform your understanding of biology, offering a fresh perspective on how data can unlock the mysteries of life itself. In an era where information is abundant yet clarity is scarce, this comprehensive guide stands out by not only covering the technical aspects of bioinformatics but also by connecting the dots between computational techniques and their real-world applications in solving biological problems. Through vivid hypothetical scenarios and personal anecdotes from experts in the field, readers are taken on a captivating journey from the basics of DNA sequencing to the forefront of genetic research. The book emphasizes the critical role of bioinformatics in advancing healthcare, environmental conservation, and our understanding of evolution, making it an essential addition to the library of anyone looking to make a mark in the biological sciences.
Author: Ioannis Caragiannis
Publisher: Springer
ISBN: 3642369499
Category : Computers
Languages : en
Pages : 612
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Book Description
This book constitutes thoroughly refereed post-conference proceedings of the workshops of the 18th International Conference on Parallel Computing, Euro-Par 2012, held in Rhodes Islands, Greece, in August 2012. The papers of these 10 workshops BDMC, CGWS, HeteroPar, HiBB, OMHI, Paraphrase, PROPER, UCHPC, VHPC focus on promotion and advancement of all aspects of parallel and distributed computing.
Author: Veli Mäkinen
Publisher: Cambridge University Press
ISBN: 1316342948
Category : Science
Languages : en
Pages : 415
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Book Description
High-throughput sequencing has revolutionised the field of biological sequence analysis. Its application has enabled researchers to address important biological questions, often for the first time. This book provides an integrated presentation of the fundamental algorithms and data structures that power modern sequence analysis workflows. The topics covered range from the foundations of biological sequence analysis (alignments and hidden Markov models), to classical index structures (k-mer indexes, suffix arrays and suffix trees), Burrows–Wheeler indexes, graph algorithms and a number of advanced omics applications. The chapters feature numerous examples, algorithm visualisations, exercises and problems, each chosen to reflect the steps of large-scale sequencing projects, including read alignment, variant calling, haplotyping, fragment assembly, alignment-free genome comparison, transcript prediction and analysis of metagenomic samples. Each biological problem is accompanied by precise formulations, providing graduate students and researchers in bioinformatics and computer science with a powerful toolkit for the emerging applications of high-throughput sequencing.
Author: Natalia Maltsev
Publisher: Springer Science & Business Media
ISBN: 1461487781
Category : Science
Languages : en
Pages : 134
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Book Description
Understanding the genetic architecture underlying complex multigene disorders is one of the major goals of human genetics in the upcoming decades. Advances in whole genome sequencing and the success of high throughput functional genomics allow supplementing conventional reductionist biology with systems-level approaches to human heredity and health as systems of interacting genetic, epigenetic, and environmental factors. This integrative approach holds the promise of unveiling yet unexplored levels of molecular organization and biological complexity. It may also hold the key to deciphering the multigene patterns of disease inheritance.
Author: Geoff Daniels
Publisher: John Wiley & Sons
ISBN: 1118493540
Category : Medical
Languages : en
Pages : 950
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Book Description
Human Blood Groups is a comprehensive and fully referenced text covering both the scientific and clinical aspects of red cell surface antigens, including: serology, inheritance, biochemistry, molecular genetics, biological functions and clinical significance in transfusion medicine. Since the last edition, seven new blood group systems and over 60 new blood group antigens have been identified. All of the genes representing those systems have now been cloned and sequenced. This essential new information has made the launch of a third edition of Human Blood Groups, now in four colour, particularly timely. This book continues to be an essential reference source for all those who require clinical information on blood groups and antibodies in transfusion medicine and blood banking.
Author: Alessio Mengoni
Publisher:
ISBN: 9781493917204
Category : Bacterial genetics
Languages : en
Pages : 298
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Book Description
Author: Christopher Chang
Publisher: Academic Press
ISBN: 0323953239
Category : Medical
Languages : en
Pages : 1850
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Book Description
**Selected for Doody's Core Titles® 2024 in Allergy/Clinical Immunology** Allergic and Immunologic Diseases: A Practical Guide to the Evaluation, Diagnosis and Management of Allergic and Immunologic Diseases is a valuable resource for researchers and others involved in the day-to-day practice of allergy and immunology, with specific information, protocols and algorithms to guide their thinking. The book provides practical information and an explanation of why and how we do things, while also addressing the limitations of testing and treatment. Other sections focus on scientific based practices and the known pathophysiology of allergic and immunologic diseases, along with mechanisms of action in various treatment modalities. This book is unique in that it explains the rationale behind everything we do in allergy and immunology, hence it offers readers specific information on procedures and how to order tests and treat allergic and immunologic diseases. - Contains useful information on allergic and immunologic diseases, from why we do things the way we do, to methodologies, interpretation of the results and management of diseases - Provides information that can be immediately downloadable for any specific procedure or treatment algorithm for immediate use - Evaluates scientific merit and evidence or lack thereof
Author: Manish Kumar Gupta
Publisher: Elsevier
ISBN: 0443160937
Category : Science
Languages : en
Pages : 434
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Book Description
Integrative Omics: Concepts, Methodology and Applications provides a holistic and integrated view of defining and applying network approaches, integrative tools, and methods to solve problems for the rationalization of genotype to phenotype relationships. The reference includes a range of chapters in a systemic 'step by step' manner, which begins with the basic concepts from Omic to Multi Integrative Omics approaches, followed by their full range of approaches, applications, emerging trends, and future trends. All key areas of Omics are covered including biological databases, sequence alignment, pharmacogenomics, nutrigenomics and microbial omics, integrated omics for Food Science and Identification of genes associated with disease, clinical data integration and data warehousing, translational omics as well as omics technology policy and society research. Integrative Omics: Concepts, Methodology and Applications highlights the recent concepts, methodologies, advancements in technologies and is also well-suited for researchers from both academic and industry background, undergraduate and graduate students who are mainly working in the area of computational systems biology, integrative omics and translational science. The book bridges the gap between biological sciences, physical sciences, computer science, statistics, data science, information technology and mathematics by presenting content specifically dedicated to mathematical models of biological systems. - Provides a holistic, integrated view of a defining and applying network approach, integrative tools, and methods to solve problems for rationalization of genotype to phenotype relationships - Offers an interdisciplinary approach to Databases, data analytics techniques, biological tools, network construction, analysis, modeling, prediction and simulation of biological systems leading to 'translational research', i.e., drug discovery, drug target prediction, and precision medicine - Covers worldwide methods, concepts, databases, and tools used in the construction of integrated pathways
Author: Abhirup Khanna
Publisher: John Wiley & Sons
ISBN: 1394234163
Category : Computers
Languages : en
Pages : 677
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Book Description
The book is a comprehensive guide that explores the use of artificial intelligence and machine learning in drug discovery and development covering a range of topics, including the use of molecular modeling, docking, identifying targets, selecting compounds, and optimizing drugs. The intersection of Artificial Intelligence (AI) and Machine Learning (ML) within the field of drug design and development represents a pivotal moment in the history of healthcare and pharmaceuticals. The remarkable synergy between cutting-edge technology and the life sciences has ushered in a new era of possibilities, offering unprecedented opportunities, formidable challenges, and a tantalizing glimpse into the future of medicine. AI can be applied to all the key areas of the pharmaceutical industry, such as drug discovery and development, drug repurposing, and improving productivity within a short period. Contemporary methods have shown promising results in facilitating the discovery of drugs to target different diseases. Moreover, AI helps in predicting the efficacy and safety of molecules and gives researchers a much broader chemical pallet for the selection of the best molecules for drug testing and delivery. In this context, drug repurposing is another important topic where AI can have a substantial impact. With the vast amount of clinical and pharmaceutical data available to date, AI algorithms find suitable drugs that can be repurposed for alternative use in medicine. This book is a comprehensive exploration of this dynamic and rapidly evolving field. In an era where precision and efficiency are paramount in drug discovery, AI and ML have emerged as transformative tools, reshaping the way we identify, design, and develop pharmaceuticals. This book is a testament to the profound impact these technologies have had and will continue to have on the pharmaceutical industry, healthcare, and ultimately, patient well-being. The editors of this volume have assembled a distinguished group of experts, researchers, and thought leaders from both the AI, ML, and pharmaceutical domains. Their collective knowledge and insights illuminate the multifaceted landscape of AI and ML in drug design and development, offering a roadmap for navigating its complexities and harnessing its potential. In each section, readers will find a rich tapestry of knowledge, case studies, and expert opinions, providing a 360-degree view of AI and ML’s role in drug design and development. Whether you are a researcher, scientist, industry professional, policymaker, or simply curious about the future of medicine, this book offers 19 state-of-the-art chapters providing valuable insights and a compass to navigate the exciting journey ahead. Audience The book is a valuable resource for a wide range of professionals in the pharmaceutical and allied industries including researchers, scientists, engineers, and laboratory workers in the field of drug discovery and development, who want to learn about the latest techniques in machine learning and AI, as well as information technology professionals who are interested in the application of machine learning and artificial intelligence in drug development.
