Автор: Peiman, Hematti Название: Mesenchymal Stromal Cells ISBN: 0128028262 ISBN-13(EAN): 9780128028261 Издательство: Elsevier Science Рейтинг: Цена: 97690.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Mesenchymal Stromal Cells: Translational Pathways to Clinical Adoption provides the latest information on the necessary steps for successful production of stem cells for a clinical trial. Written by professionals with hands-on experience in bringing MSC therapies to the clinic, and building on the biology and mechanisms of action, this unique book covers the development and production of clinical-grade products that are suitable for use in humans. From design of a cell production facility, to obtaining regulatory approval and reimbursement issues, it is a useful guide for researchers and administrators across biomedical research.
Автор: Ning Название: Methodologies of Multi-Omics Data Integration and Data Mining ISBN: 9811982120 ISBN-13(EAN): 9789811982125 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book features multi-omics big-data integration and data-mining techniques. In the omics age, paramount of multi-omics data from various sources is the new challenge we are facing, but it also provides clues for several biomedical or clinical applications. This book focuses on data integration and data mining methods for multi-omics research, which explains in detail and with supportive examples the “What”, “Why” and “How” of the topic. The contents are organized into eight chapters, out of which one is for the introduction, followed by four chapters dedicated for omics integration techniques focusing on several omics data resources and data-mining methods, and three chapters dedicated for applications of multi-omics analyses with application being demonstrated by several data mining methods. This book is an attempt to bridge the gap between the biomedical multi-omics big data and the data-mining techniques for the best practice of contemporary bioinformatics and the in-depth insights for the biomedical questions. It would be of interests for the researchers and practitioners who want to conduct the multi-omics studies in cancer, inflammation disease, and microbiome researches.
Автор: Ning Название: Traditional Chinese Medicine and Diseases ISBN: 9811947732 ISBN-13(EAN): 9789811947735 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book focuses on the multi-omics big-data integration, the data-mining techniques and the cutting-edge omics researches in principles and applications for a deep understanding of Traditional Chinese Medicine (TCM) and diseases from the following aspects: (1) Basics about multi-omics data and analytical methods for TCM and diseases. (2) The needs of omics studies in TCM researches, and the basic background of omics research in TCM and disease. (3) Better understanding of the multi-omics big-data integration techniques. (4) Better understanding of the multi-omics big-data mining techniques, as well as with different applications, for most insights from these omics data for TCM and disease researches. (5) TCM preparation quality control for checking both prescribed and unexpected ingredients including biological and chemical ingredients. (6) TCM preparation source tracking. (7) TCM preparation network pharmacology analysis. (8) TCM analysis data resources, web services, and visualizations. (9) TCM geoherbalism examination and authentic TCM identification. Traditional Chinese Medicine has been in existence for several thousands of years, and only in recent tens of years have we realized that the researches on TCM could be profoundly boosted by the omics technologies. Devised as a book on TCM and disease researches in the omics age, this book has put the focus on data integration and data mining methods for multi-omics researches, which will be explained in detail and with supportive examples the “What”, “Why” and “How” of omics on TCM related researches. It is an attempt to bridge the gap between TCM related multi-omics big data, and the data-mining techniques, for best practice of contemporary bioinformatics and in-depth insights on the TCM related questions.
Автор: Sobti Название: Biomedical Translational Research ISBN: 9811692343 ISBN-13(EAN): 9789811692345 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book, which is the third volume of Biomedical translational research, focuses on the fundamental role of biomedical research in developing new medicinal products. It emphasizes the importance of understanding biological and pathophysiological mechanisms underlying the disease to discover and develop new biological agents. The book uniquely explores the genomic computational integrative approach for drug repositioning. Further, it discusses the health benefits of nutraceuticals and their application in human diseases. Further, the book comprehensively reviews different computational approaches that employ GWAS data to guide drug repositioning. Finally, it summarizes the major challenges in drug development and the strategies for the rational design of the next generation more effective but less toxic therapeutic agents.
Автор: Mittra, James Название: Translational Medicine ISBN: 9814316997 ISBN-13(EAN): 9789814316996 Издательство: Taylor&Francis Рейтинг: Цена: 117390.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Cosmatos, Dennis Название: Translational Medicine ISBN: 1584888725 ISBN-13(EAN): 9781584888727 Издательство: Taylor&Francis Рейтинг: Цена: 117390.00 T Наличие на складе: Нет в наличии.
Автор: Cavagnaro, Joy A. Название: Translational Medicine ISBN: 0367644274 ISBN-13(EAN): 9780367644277 Издательство: Taylor&Francis Рейтинг: Цена: 173530.00 T Наличие на складе: Нет в наличии.
Автор: McArthur, Robert A. Название: Animal And Translational Models For Cns Drug Discovery: Reward Deficit Disorders ISBN: 0123738601 ISBN-13(EAN): 9780123738608 Издательство: Elsevier Science Рейтинг: Цена: 79730.00 T Наличие на складе: Поставка под заказ. Описание: Suitable for researchers in academia and pharmaceutical industry who use animal models in research and development of drugs for reward deficit disorders, this title identifies and provides common endpoints between species that can serve to inform the clinic and bench with information needed to accelerate clinically-effective CNS drug discovery.
Автор: McArthur, Robert A. Название: Animal And Translational Models For Cns Drug Discovery: Psychiatric Disorders ISBN: 0123738563 ISBN-13(EAN): 9780123738561 Издательство: Elsevier Science Рейтинг: Цена: 79730.00 T Наличие на складе: Поставка под заказ. Описание: Suitable for researchers in academia and pharmaceutical industry who use animal models in research and development of drugs for psychiatric disorders, this title identifies and provides common endpoints between species that can serve to inform the clinic and the bench with information needed to accelerate clinically-effective CNS drug discovery.
Автор: McArthur, Robert A. Название: Animal And Translational Models For Cns Drug Discovery: Neurological Disorders ISBN: 0123738555 ISBN-13(EAN): 9780123738554 Издательство: Elsevier Science Рейтинг: Цена: 70730.00 T Наличие на складе: Поставка под заказ. Описание: Suitable for researchers in academia and pharmaceutical industry who use animal models in research and development of drugs for neurological disorders, this title identifies and provides common endpoints between species that can serve to inform the clinic and the bench with information needed to accelerate clinically-effective CNS drug discovery.
Автор: Ning Название: Methodologies of Multi-Omics Data Integration and Data Mining ISBN: 9811982090 ISBN-13(EAN): 9789811982095 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book features multi-omics big-data integration and data-mining techniques. In the omics age, paramount of multi-omics data from various sources is the new challenge we are facing, but it also provides clues for several biomedical or clinical applications. This book focuses on data integration and data mining methods for multi-omics research, which explains in detail and with supportive examples the “What”, “Why” and “How” of the topic. The contents are organized into eight chapters, out of which one is for the introduction, followed by four chapters dedicated for omics integration techniques focusing on several omics data resources and data-mining methods, and three chapters dedicated for applications of multi-omics analyses with application being demonstrated by several data mining methods. This book is an attempt to bridge the gap between the biomedical multi-omics big data and the data-mining techniques for the best practice of contemporary bioinformatics and the in-depth insights for the biomedical questions. It would be of interests for the researchers and practitioners who want to conduct the multi-omics studies in cancer, inflammation disease, and microbiome researches.
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