Biological Networks in Human Health and Disease
暫譯: 人類健康與疾病中的生物網絡
Ishrat, Romana
- 出版商: Springer
- 出版日期: 2024-10-14
- 售價: $7,000
- 貴賓價: 9.5 折 $6,650
- 語言: 英文
- 頁數: 125
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9819942446
- ISBN-13: 9789819942442
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相關分類:
生物資訊 Bioinformatics、Machine Learning
海外代購書籍(需單獨結帳)
相關主題
商品描述
This 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.
商品描述(中文翻譯)
本書介紹了網路生物學和生物資訊學的方法與工具，以理解疾病動態和識別藥物靶點。章節的初始部分介紹了理論方面，接著是不同的應用，包括生物網路的構建與分析、識別網路中關鍵節點的方法，以及網路動態。本書涵蓋了網路醫學的最新進展，探討了不同類型的生物網路及其應用。進一步回顧了 R 語言在基於網路的方法中的角色，這些方法有助於理解生物系統和識別生物功能。在書的末尾，探討了機器學習的最新發展及其在推進網路生物學方面的潛力。最後，本書闡明了使用網路生物學理解疾病動態所面臨的挑戰的全面而具代表性的描述。考慮到其範疇，本書旨在為生物資訊學、計算生物學和醫學科學的研究人員及高級研究生提供參考。
作者簡介
Dr. 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.
作者簡介(中文翻譯)
羅瑪娜·伊斯拉特博士是賈米亞·米利亞·伊斯蘭大學基礎科學跨學科研究中心的副教授，自2007年以來一直擔任該校教職。她的研究興趣涵蓋生物資訊學和計算生物學，範圍從圖論到網絡分析、網絡醫學及其在分子生物學層面上調查各種生物醫學問題的應用。她曾在多個國際和國內會議的程序委員會中任職，並成功組織了一場關於大數據和計算生物學的會議（2019年）。她在計算機科學和生物資訊學方面擁有超過15年的教學經驗。她的研究小組目前專注於分析網絡，以理解疾病動態，如p53、乳腺癌、結核病（MTB）、特納氏症、敗血症、心腎綜合症和副甲狀腺。她在國際同行評審的期刊上發表了50篇研究文章。
