Unsupervised Learning Models For Unlabeled Genomic Transcriptomic Proteomic Data
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Unsupervised Learning Models For Unlabeled Genomic Transcriptomic Proteomic Data
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Author : Jianing Xi
language : en
Publisher: Frontiers Media SA
Release Date : 2022-01-05
Unsupervised Learning Models For Unlabeled Genomic Transcriptomic Proteomic Data written by Jianing Xi 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 2022-01-05 with Science categories.
Pharmacoproteomics
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Author : Seth K. Amponsah
language : en
Publisher: Springer Nature
Release Date : 2024-09-01
Pharmacoproteomics written by Seth K. Amponsah and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-01 with Science categories.
This book gives an overview of pharmacoproteomics and its clinical applications, as well as the latest information on drug mechanisms at the proteome level, the relationship between proteomics and toxicity or resistance, and how proteomics aid in discovery of new drug targets. The book also highlights recent advances in analytical methods, analysis, and interpretation of pharmacoproteomic data. Pharmacoproteomics: Recent Trends and Applications is an ideal book for those working in pharmaceutical industries, as well as scientists, health care professionals, and researchers who work in the field of genomics, pharmacology, pharmacokinetics, toxicology, and pharmaceutical chemistry.
Microbial Metabolomics
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Author : Sukhminderjit Kaur
language : en
Publisher: Springer Nature
Release Date : 2025-06-09
Microbial Metabolomics written by Sukhminderjit Kaur and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-09 with Science categories.
This book explores the potential of microbial metabolism in health, agriculture, and environmental technologies, serving as a comprehensive guide to microbial metabolomics with practical applications. It uncovers the complex biochemical processes of microbes, from bacteria to fungi, revealing their impact on biotechnology, environmental sciences, healthcare, and agriculture. Microbes, the unseen drivers of biological processes, offer innovative solutions across these fields. The book examines the rapid advancements in microbial metabolomics and addresses challenges like data integration and metabolite identification, providing insights to unlock its full potential. It caters to the growing demand for advanced resources in microbiology and biotechnology, making it valuable for researchers, students, and professionals in microbiology, biotechnology, and biochemistry, as well as innovators in food security and green technology.
Advances In Deep Learning And Bioinformatics
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Author : Dr. Monish Mukul Das
language : en
Publisher: Chyren Publication
Release Date : 2025-02-04
Advances In Deep Learning And Bioinformatics written by Dr. Monish Mukul Das and has been published by Chyren Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-04 with Antiques & Collectibles categories.
In Silico Dreams
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Author : Brian S. Hilbush
language : en
Publisher: John Wiley & Sons
Release Date : 2021-07-28
In Silico Dreams written by Brian S. Hilbush 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 2021-07-28 with Medical categories.
Learn how AI and data science are upending the worlds of biology and medicine In Silico Dreams: How Artificial Intelligence and Biotechnology Will Create the Medicines of the Future delivers an illuminating and fresh perspective on the convergence of two powerful technologies: AI and biotech. Accomplished genomics expert, executive, and author Brian Hilbush offers readers a brilliant exploration of the most current work of pioneering tech giants and biotechnology startups who have already started disrupting healthcare. The book provides an in-depth understanding of the sources of innovation that are driving the shift in the pharmaceutical industry away from serendipitous therapeutic discovery and toward engineered medicines and curative therapies. In this fascinating book, you'll discover: An overview of the rise of data science methods and the paradigm shift in biology that led to the in silico revolution An outline of the fundamental breakthroughs in AI and deep learning and their applications across medicine A compelling argument for the notion that AI and biotechnology tools will rapidly accelerate the development of therapeutics A summary of innovative breakthroughs in biotechnology with a focus on gene editing and cell reprogramming technologies for therapeutic development A guide to the startup landscape in AI in medicine, revealing where investments are poised to shape the innovation base for the pharmaceutical industry Perfect for anyone with an interest in scientific topics and technology, In Silico Dreams also belongs on the bookshelves of decision-makers in a wide range of industries, including healthcare, technology, venture capital, and government.
Pathogens And Environmental Impact On Life Forms
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Author : Rajesh Pandey
language : en
Publisher: Springer Nature
Release Date : 2024-11-29
Pathogens And Environmental Impact On Life Forms written by Rajesh Pandey and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-29 with Medical categories.
Since before the time of our last common ancestor, microbes have been shaping our evolution and our environment, just as we have shaped theirs. This fact has recently gained renewed prominence with wider acknowledgement of the microbiome (part of One Health) and its role in maintenance of human homeostasis. This two-part book titled “Pathogens and Environmental Impact on Life Forms”, highlights the fluid dynamics we share with the microbes within us, including both, arguably ‘helpful’ species, and undoubtedly pathogenic ones (pathogen containment, clearance, and optimisation are dwelt on).It also underscores the effects of anthropogenic changes on microbes external to us, and the consequences of the resultant environmental dysbiosis for our continued health and well-being. Prominent examples include indiscriminate industrialisation and urbanisation. Both of these forces, empowered by a culture of consumerism, have led to excessive pollution and several detrimental lifestyle changes, which have culminated in our present obesity crisis and diabetes ‘pandemic’. Finally, this book concludes by emphasising that the way forward for healthcare is not only to be cognizant of the eubiotic microbiome in its diagnoses and treatments, but also to use this tremendous resource to contend with the quickly transforming landscape of infectious diseases.
Deep Learning In Genetics And Genomics
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Author : Khalid Raza
language : en
Publisher: Elsevier
Release Date : 2024-11-28
Deep Learning In Genetics And Genomics written by Khalid Raza and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-28 with Science categories.
Deep Learning in Genetics and Genomics: Vol. 2 (Advanced Applications) delves into the Deep Learning methods and their applications in various fields of studies, including genetics and genomics, bioinformatics, health informatics and medical informatics generating the momentum of today's developments in the field. In 25 chapters this title covers advanced applications in the field which includes deep learning in predictive medicines), analysis of genetic and clinical features, transcriptomics and gene expression patterns analysis, clinical decision support in genetic diagnostics, deep learning in personalised genomics and gene editing, and understanding genetic discoveries through Explainable AI. Further, it also covers various deep learning-based case studies, making this book a unique resource for wider, deeper, and in-depth coverage of recent advancement in deep learning based approaches. This volume is not only a valuable resource for health educators, clinicians, and healthcare professionals but also to graduate students of genetics, genomics, biology, biostatistics, biomedical sciences, bioinformatics, and interdisciplinary sciences. - Embraces the potential that deep learning holds for understanding genome biology - Encourages further advances in this area, extending to all aspects of genomics research - Provides Deep Learning algorithms in genetic and genomic research
Multi Pronged Omics Technologies To Understand Covid 19
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Author : Sanjeeva Srivastava
language : en
Publisher: CRC Press
Release Date : 2022-07-07
Multi Pronged Omics Technologies To Understand Covid 19 written by Sanjeeva Srivastava and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-07 with Science categories.
"COVID-19 and Omics Technologies" is a comprehensive, integrative assessment of recent information and knowledge collected on SARS-CoV-2 and COVID-19 during the pandemic based on omics technologies. It demonstrates how omics technologies could better investigate the infectious disease and propose solutions to the current concerns. The value of multi-omics technologies in understanding disease etiology and host response, discovering infection biomarkers and illness prediction, identifying vaccine candidates, discovering therapeutic targets, and tracing pathogen evolution is discussed in this book. These factors combine to make it a valuable resource to enhance understanding of both "Omics technology" and "COVID-19" as a disease. The book covers the most recent understanding of COVID-19 and the applications of cutting-edge studies, making it accessible to a large multidisciplinary readership. The book explains how high-throughput technologies and systems biology might assist to solve the pandemic’s challenges and deconstruct and appreciate the substantial contributions that omics technologies have made in predicting the path of this unforeseeable pandemic. Features: In-depth summary of clinical presentation, epidemiological impact, and long-term sequelae of COVID-19 pandemic. A systematic overview of omics-based approaches to the study of COVID-19 biology. Recent research results and some pointers to future advancements in methodologies used. Detailed examples from recent studies on COVID-19 encompassing different omics methodologies. A detailed description of methodologies and notes on the applications of state-of-the-art technologies. This book is intended for scientists who need to understand the biology of COVID-19 from the perspective of omics investigations, as well as researchers who want to employ omics-based technologies in disease biology.
Advances In Ai Based Tools For Personalized Cancer Diagnosis Prognosis And Treatment
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Author : Israel Tojal Da Silva
language : en
Publisher: Frontiers Media SA
Release Date : 2022-09-21
Advances In Ai Based Tools For Personalized Cancer Diagnosis Prognosis And Treatment written by Israel Tojal Da Silva 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 2022-09-21 with Science categories.
Emerging Trends And Applications Of Deep Learning For Biomedical Data Analysis
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Author : Smita Sharma
language : en
Publisher: Elsevier
Release Date : 2025-05-02
Emerging Trends And Applications Of Deep Learning For Biomedical Data Analysis written by Smita Sharma and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-02 with Science categories.
Emerging Trends and Applications of Deep Learning for Biomedical Data Analysis introduces the latest emerging trends and applications of deep learning in biomedical data analysis. This book delves into various use cases where deep learning is applied in industrial, social, and personal contexts within the biomedical domain. By gaining a comprehensive understanding of deep learning in biomedical data analysis, readers will develop the skills to critically evaluate research papers, methodologies, and emerging trends. In 11 chapters, this book provides insights into the fundamentals of the latest research trends in the applications of deep learning in biosciences. With several case studies and use cases, it familiarizes the reader with a comprehensive understanding of deep learning algorithms, architectures, and methodologies speci cally applicable to biomedical data analysis. This title is an ideal reference for researchers across the biomedical sciences.● Provides a succinct overview of the cutting-edge technologies that are altering disease diagnosis, patient monitoring, and medical research● Bridges the gap between biomedical engineering and deep learning by providing a comprehensive resource for comprehending the intersection of these disciplines● Investigates how deep learning may change healthcare by providing new insights, diagnostics, and treatments via intelligent biomedical systems