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OverviewThis book presents methods and tools of network biology and bioinformatics for understanding the disease dynamics and identification of drug targets. The initial section of chapters introduce the theoretical aspects followed by the different applications for construction and analysis of biological networks, methods for identifying crucial nodes in networks, and network dynamics. The book covers the latest advances in the network medicine, exploring the different types of biological networks, and their applications. It further reviews the role of R language in the network-based approaches that help in understanding biological systems and identifying biological functions. Towards the end, the book explores the recent developments and applications in machine learning and its potential for advancing network biology. Finally, the book elucidates a comprehensive yet a representative description of challenges associated with the understanding of disease dynamics using network biology. Given its scope, the book is intended for researchers and advanced postgraduate students of bioinformatics, computational biology, and medical sciences. Full Product DetailsAuthor: Romana IshratPublisher: Springer Verlag, Singapore Imprint: Springer Verlag, Singapore Edition: 1st ed. 2023 Weight: 0.377kg ISBN: 9789819942411ISBN 10: 9819942411 Pages: 125 Publication Date: 14 October 2023 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Manufactured on demand We will order this item for you from a manufactured on demand supplier. Table of ContentsReviewsAuthor InformationDr. Romana Ishrat is Associate Professor at the Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia University, where she has been a faculty member since 2007. Her research interests lie in the area of Bioinformatics and computational biology, ranging from graph theory to network analysis, network medicine and its implementation in investigating various biomedical problems at molecular biology level. She has served on various international and national conferences program committees and successfully organized a conference on Big Data and Computational Biology (2019). She has more than 15 years of teaching experience in computer science and bioinformatics. Her research group presently working in the areas of analyzing networks for understanding disease dynamics like p53, breast cancer, Tuberculosis MTB, Turner Syndrome, Spesis, CardioRenal Syndrome and Parathyroid. She has 50 research articles in the peer-reviewed international. Tab Content 6Author Website:Countries AvailableAll regions |