System Biology Methods And Tools For Integrating Omics Data Volume Ii
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System Biology Methods And Tools For Integrating Omics Data Volume Ii
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Author : Liang Cheng
language : en
Publisher: Frontiers Media SA
Release Date : 2022-09-07
System Biology Methods And Tools For Integrating Omics Data Volume Ii written by Liang Cheng and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-07 with Science categories.
Systems Modeling Approaches And Applications Volume Ii
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Author : Alberto Jesus Martin
language : en
Publisher: Frontiers Media SA
Release Date : 2022-11-25
Systems Modeling Approaches And Applications Volume Ii written by Alberto Jesus Martin and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-25 with Science categories.
Integration Of Omics Approaches And Systems Biology For Clinical Applications
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Author : Antonia Vlahou
language : en
Publisher: John Wiley & Sons
Release Date : 2018-02-21
Integration Of Omics Approaches And Systems Biology For Clinical Applications written by Antonia Vlahou and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-21 with Science categories.
Introduces readers to the state of the art of omics platforms and all aspects of omics approaches for clinical applications This book presents different high throughput omics platforms used to analyze tissue, plasma, and urine. The reader is introduced to state of the art analytical approaches (sample preparation and instrumentation) related to proteomics, peptidomics, transcriptomics, and metabolomics. In addition, the book highlights innovative approaches using bioinformatics, urine miRNAs, and MALDI tissue imaging in the context of clinical applications. Particular emphasis is put on integration of data generated from these different platforms in order to uncover the molecular landscape of diseases. The relevance of each approach to the clinical setting is explained and future applications for patient monitoring or treatment are discussed. Integration of omics Approaches and Systems Biology for Clinical Applications presents an overview of state of the art omics techniques. These methods are employed in order to obtain the comprehensive molecular profile of biological specimens. In addition, computational tools are used for organizing and integrating these multi-source data towards developing molecular models that reflect the pathophysiology of diseases. Investigation of chronic kidney disease (CKD) and bladder cancer are used as test cases. These represent multi-factorial, highly heterogeneous diseases, and are among the most significant health issues in developed countries with a rapidly aging population. The book presents novel insights on CKD and bladder cancer obtained by omics data integration as an example of the application of systems biology in the clinical setting. Describes a range of state of the art omics analytical platforms Covers all aspects of the systems biology approach—from sample preparation to data integration and bioinformatics analysis Contains specific examples of omics methods applied in the investigation of human diseases (Chronic Kidney Disease, Bladder Cancer) Integration of omics Approaches and Systems Biology for Clinical Applications will appeal to a wide spectrum of scientists including biologists, biotechnologists, biochemists, biophysicists, and bioinformaticians working on the different molecular platforms. It is also an excellent text for students interested in these fields.
Systems Biology And In Depth Applications For Unlocking Diseases
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Author : Babak Sokouti
language : en
Publisher: Elsevier
Release Date : 2024-11-05
Systems Biology And In Depth Applications For Unlocking Diseases written by Babak Sokouti and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-05 with Science categories.
Systems Biology and In-Depth Applications for Unlocking Diseases provides the essence of systems biology approaches in a practical manner illustrating the basic principles essential to develop and model in real life science applications. Methodologies covered show how to interrogate biological data, with the purpose of obtaining insight about disease diagnosis, prognosis, and treatment.Systematically written in 4 parts, this book first provides an introduction and history of systems biology; second, it provides the tools and resources needed for the structure and function of biological systems; next, it provides the evidence of systems biology in action to better understand disease connections; and finally, it provides the extensions of systems biology in various scientific fields including pharmacology, immunology, vaccinology, neuroscience, virology, and medicine. Examples include big data techniques, scale networks, mathematical model development, and much more.This is the perfect reference to provide the fundamental base of knowledge needed for systems biologists, professionals in systems medicine, computational biologists, and bioinformaticians, whether needed for immediate application or for building a comprehensive understanding of the field. - Provides detailed and comprehensive coverage of the field of systems biology - Delivers instruction on how to interrogate biological data, with the purpose of obtaining insight about disease diagnosis, prognosis, and treatment - Makes effective steps towards personalized medicine in the treatment of disease - Explains effective disease treatment strategies at early diagnosis stages
Integrative Omics
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Author : Manish Kumar Gupta
language : en
Publisher: Elsevier
Release Date : 2024-05-03
Integrative Omics written by Manish Kumar Gupta and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-03 with Science categories.
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
Advances In Methods And Tools For Multi Omics Data Analysis
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Author : Ornella Cominetti
language : en
Publisher: Frontiers Media SA
Release Date : 2023-05-12
Advances In Methods And Tools For Multi Omics Data Analysis written by Ornella Cominetti and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-12 with Science categories.
Multi Omic Data Integration
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Author : Paolo Tieri
language : en
Publisher: Frontiers Media SA
Release Date : 2015-09-17
Multi Omic Data Integration written by Paolo Tieri and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-17 with Science (General) categories.
Stable, predictive biomarkers and interpretable disease signatures are seen as a significant step towards personalized medicine. In this perspective, integration of multi-omic data coming from genomics, transcriptomics, glycomics, proteomics, metabolomics is a powerful strategy to reconstruct and analyse complex multi-dimensional interactions, enabling deeper mechanistic and medical insight. At the same time, there is a rising concern that much of such different omic data –although often publicly and freely available- lie in databases and repositories underutilised or not used at all. Issues coming from lack of standardisation and shared biological identities are also well-known. From these considerations, a novel, pressing request arises from the life sciences to design methodologies and approaches that allow for these data to be interpreted as a whole, i.e. as intertwined molecular signatures containing genes, proteins, mRNAs and miRNAs, able to capture inter-layers connections and complexity. Papers discuss data integration approaches and methods of several types and extents, their application in understanding the pathogenesis of specific diseases or in identifying candidate biomarkers to exploit the full benefit of multi-omic datasets and their intrinsic information content. Topics of interest include, but are not limited to: • Methods for the integration of layered data, including, but not limited to, genomics, transcriptomics, glycomics, proteomics, metabolomics; • Application of multi-omic data integration approaches for diagnostic biomarker discovery in any field of the life sciences; • Innovative approaches for the analysis and the visualization of multi-omic datasets; • Methods and applications for systematic measurements from single/undivided samples (comprising genomic, transcriptomic, proteomic, metabolomic measurements, among others); • Multi-scale approaches for integrated dynamic modelling and simulation; • Implementation of applications, computational resources and repositories devoted to data integration including, but not limited to, data warehousing, database federation, semantic integration, service-oriented and/or wiki integration; • Issues related to the definition and implementation of standards, shared identities and semantics, with particular focus on the integration problem. Research papers, reviews and short communications on all topics related to the above issues were welcomed.
Arctic Marine Ecotoxicology
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Author : Patrick Omoregie Isibor
language : en
Publisher: Springer Nature
Release Date : 2024-12-05
Arctic Marine Ecotoxicology written by Patrick Omoregie Isibor and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-05 with Technology & Engineering categories.
This book explores the fragile Arctic marine environment from the perspective of marine toxicology, shedding light on the intricate relationship between pollution, contaminants, and Arctic ecosystems. It examines the challenges of preserving this delicate habitat and the need to conserve the inherent lifeforms found there. The book introduces the unique characteristics of Arctic marine life. It delineates climate change and the effects of pollutants, analyzing their far-reaching impacts on the complex waters of Arctic marine toxicology. It also examines the regulatory frameworks required to safeguard these vulnerable ecosystems and presents case studies and ethical considerations. Fundamentals of Arctic Marine Toxicology: Climate Change, Pollutants, and Their Far-Reaching Effects is a valuable resource for researchers, policymakers, industry professionals, and environmental stewards. Its interdisciplinary approach encompasses climate change, conservation, biology, environmental science, and toxicology. It offers a holistic understanding of the Arctic's ecological intricacies and the challenges posed by anthropogenic disturbances caused by human activities motivated by economic gain. The book serves as a guide towards a future of eco-friendly innovations that align with environmental stewardship. It envisions a world of sustainable Arctic marine ecosystems achieved through responsible and sustainable practices.
Cancer Systems And Integrative Biology
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Author : Usha N. Kasid
language : en
Publisher: Springer Nature
Release Date : 2023-05-16
Cancer Systems And Integrative Biology written by Usha N. Kasid and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-16 with Medical categories.
This thorough volume explores recent advances that have revolutionized the field of precision oncology. The chapters, contributed by experts in the areas of cancer systems and integrative biology, provide hands-on guidance toward developing tools to monitor spatial and temporal changes in tumors, tracking tumor markers in blood, and ultimately developing precision medicine to combat cancer in real time. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice that ensures successful results. Authoritative and informative, Cancer Systems and Integrative Biology serves as an invaluable resource for researchers, pharmaceutical scientists, and oncologists interested in expanding their knowledge base in the current developments in cancer research.
Machine Learning Methods For Multi Omics Data Integration
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Author : Abedalrhman Alkhateeb
language : en
Publisher: Springer Nature
Release Date : 2023-11-13
Machine Learning Methods For Multi Omics Data Integration written by Abedalrhman Alkhateeb and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-13 with Computers categories.
The advancement of biomedical engineering has enabled the generation of multi-omics data by developing high-throughput technologies, such as next-generation sequencing, mass spectrometry, and microarrays. Large-scale data sets for multiple omics platforms, including genomics, transcriptomics, proteomics, and metabolomics, have become more accessible and cost-effective over time. Integrating multi-omics data has become increasingly important in many research fields, such as bioinformatics, genomics, and systems biology. This integration allows researchers to understand complex interactions between biological molecules and pathways. It enables us to comprehensively understand complex biological systems, leading to new insights into disease mechanisms, drug discovery, and personalized medicine. Still, integrating various heterogeneous data types into a single learning model also comes with challenges. In this regard, learning algorithms have been vital in analyzing and integratingthese large-scale heterogeneous data sets into one learning model. This book overviews the latest multi-omics technologies, machine learning techniques for data integration, and multi-omics databases for validation. It covers different types of learning for supervised and unsupervised learning techniques, including standard classifiers, deep learning, tensor factorization, ensemble learning, and clustering, among others. The book categorizes different levels of integrations, ranging from early, middle, or late-stage among multi-view models. The underlying models target different objectives, such as knowledge discovery, pattern recognition, disease-related biomarkers, and validation tools for multi-omics data. Finally, the book emphasizes practical applications and case studies, making it an essential resource for researchers and practitioners looking to apply machine learning to their multi-omics data sets. The book covers data preprocessing, feature selection, and model evaluation, providing readers with a practical guide to implementing machine learning techniques on various multi-omics data sets.