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Titlebook: Biological Networks in Human Health and Disease; Romana Ishrat Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive

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樓主
發(fā)表于 2025-3-21 17:51:58 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Biological Networks in Human Health and Disease
影響因子2023Romana Ishrat
視頻videohttp://file.papertrans.cn/188/187419/187419.mp4
發(fā)行地址Presents tools of network biology for understanding disease dynamics.Examines opportunities and challenges in network medicine.Reviews the role of machine learning in analyzing the biological networks
圖書封面Titlebook: Biological Networks in Human Health and Disease;  Romana Ishrat Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive
影響因子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..?
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沙發(fā)
發(fā)表于 2025-3-21 23:20:49 | 只看該作者
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Rede zur Verleihung des Kleist-Preises 2008his high volume of data brought the term “Big Data.” The term “Big Data” has several dimensions which contain a huge amount of unstructured and structured data sets. Analysis, interpretation, and complete extraction of meaningful information from the raw, structured, and unstructured datasets lead t
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發(fā)表于 2025-3-22 10:26:39 | 只看該作者
Poetische Logik verwickelter Verh?ltnisse). Appropriate analysis of large-scale datasets (proteomics, genomes, multi-omics data, Htseq, RNA-seq, ChIPseq, and so on) is now a bottleneck. One of the most frequent ways of representing biological systems as complicated sets of binary interactions or relationships between diverse bio-entities i
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發(fā)表于 2025-3-22 15:41:46 | 只看該作者
Poetische Logik verwickelter Verh?ltnissee advancement and promises of AI can provide in medicine have been increasing. On the other hand, the concept and application of quantitative matrices for the networks in biology started by Neumann in 2010 has now grown as a respective field of its own, i.e., Network Biology. It is time to join thes
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發(fā)表于 2025-3-22 19:37:09 | 只看該作者
https://doi.org/10.1007/978-981-99-4242-8Biological networks; Big Data Analytics; Network Medicine; Machine Learning; Bioinformatics
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發(fā)表于 2025-3-23 00:57:53 | 只看該作者
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發(fā)表于 2025-3-23 01:24:45 | 只看該作者
Romana IshratPresents tools of network biology for understanding disease dynamics.Examines opportunities and challenges in network medicine.Reviews the role of machine learning in analyzing the biological networks
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