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This detailed volume explores the use of single-cell assays in research for drug discovery, microfluidics, and more. The book delves into methodologies involving a variety of cell types and diseases, small molecules and biologics, as well as studies of the genome and transciptome. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step and readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Single-Cell Assays: Microfluidics, Genomics, and Drug Discovery serves to enable researchers to obtain a rapid overview in state-of-the-art microfluidic single-cell assays and an impression of what possibilities these assays offer to drug discovery.
Written by experts in the subject area, the book covers a broad range of topics in the metastasis of breast cancer, from genetics, biology to clinical management. Main topics include genetic control, biology, growth factors, cell adhesion, cell motility and invasion, natures of bone metastasis, sentinel node therapies, hormonal links, new biomarkers and detection of micrometastasis and diagnosis. This timely book also covers the current treatment options.
It is our great pleasure to welcome you to the 10th ACM Conference on Web Science, Amsterdam, 27-30 May 2018. This year's edition of the WebSci conference (WebSci'18) celebrates the ten year anniversary of the unique conference series where a multitude of disciplines converge in a creative and critical dialogue with the aim of understanding the Web and its impacts. The WebSci conference brings together researchers from multiple disciplines, like computer science, sociology, economics, information science, anthropology and psychology. Web Science is the emergent study of the people and technologies, applications, processes and practices that shape and are shaped by the World Wide Web. Web Sci...
Experts from academia and industry highlight the potential of genome-wide association studies from basic science to clinical and biotechnological/pharmaceutical applications.
In the twenty-first century, applications in medicine and engineering must acquire greater safety and flexibility if they are to yield better products at higher efficiency. Experts from academia, industry, and government research laboratories who have pioneered CME ideas and technologies describe its concept and research approach and discuss related hardware and software, science and technology, and medicine and engineering. This book will be invaluable to scientists, researchers, and graduates in the emerging field of CME.
When Barack Obama won the 2008 presidential election, he also won a long-running debate with his wife Michelle. Contrary to her fears, politics now seemed like a worthwhile, even noble pursuit. Together they planned a White House life that would be as normal and sane as possible. Then they moved in. In The Obamas, Jodi Kantor takes us deep inside the White House as they grapple with their new roles, change the country, raise children, maintain friendships, and figure out what it means to be President and First Lady. Filled with riveting detail and insight into their partnership and personalities, and written with a keen eye for the ironies of public life and the realities of power, The Obamas is an intimate portrait that will surprise even those who thought they knew the President and First Lady.
This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are the focus of this book. It is timely as federated learning is becoming popular after the release of the General Data Protection Regulation (GDPR). Since federated learning aims to enable a machine model to be collaboratively trained without each party exposing private data to others. This setting adheres to regulatory requirements of data privacy protection such as GDPR. This book contains three main parts. Firstly, it introduces different privacy-preserving methods for protecting a federated lear...
Tutorial chapters by leaders in the field introduce state-of-the-art methods to handle information integration problems of omics data.
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
This contributed volume explores the emerging intersection between big data analytics and genomics. Recent sequencing technologies have enabled high-throughput sequencing data generation for genomics resulting in several international projects which have led to massive genomic data accumulation at an unprecedented pace. To reveal novel genomic insights from this data within a reasonable time frame, traditional data analysis methods may not be sufficient or scalable, forcing the need for big data analytics to be developed for genomics. The computational methods addressed in the book are intended to tackle crucial biological questions using big data, and are appropriate for either newcomers or...