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Titlebook: Methodologies of Multi-Omics Data Integration and Data Mining; Techniques and Appli Kang Ning Book 2023 The Editor(s) (if applicable) and T

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發(fā)表于 2025-3-21 19:00:36 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Methodologies of Multi-Omics Data Integration and Data Mining
副標(biāo)題Techniques and Appli
編輯Kang Ning
視頻videohttp://file.papertrans.cn/633/632157/632157.mp4
概述Features multi-omics big-data integration and data-mining techniques.Provides in detail and with supportive examples the “What”, “Why” and “How” of the topic.Shed light on a data-driven and better und
叢書名稱Translational Bioinformatics
圖書封面Titlebook: Methodologies of Multi-Omics Data Integration and Data Mining; Techniques and Appli Kang Ning Book 2023 The Editor(s) (if applicable) and T
描述This book features multi-omics big-data integration and data-mining techniques. In the omics age, paramount of multi-omics data from various sources is the new challenge we are facing, but it also provides clues for several biomedical or clinical applications. This book focuses on data integration and data mining methods for multi-omics research, which explains in detail and with supportive examples the “What”, “Why” and “How” of the topic. The contents are organized into eight chapters, out of which one is for the introduction, followed by four chapters dedicated for omics integration techniques focusing on several omics data resources and data-mining methods, and three chapters dedicated for applications of multi-omics analyses with application being demonstrated by several data mining methods. This book is an attempt to bridge the gap between the biomedical multi-omics big data and the data-mining techniques for the best practice of contemporary bioinformatics and the in-depth insights for the biomedical questions. It would be of interests for the researchers and practitioners who want to conduct the multi-omics studies in cancer, inflammation disease, and microbiome researches.
出版日期Book 2023
關(guān)鍵詞Big-data; Multiple omics; Data mining; Artificial intelligence; Microbiome
版次1
doihttps://doi.org/10.1007/978-981-19-8210-1
isbn_softcover978-981-19-8212-5
isbn_ebook978-981-19-8210-1Series ISSN 2213-2775 Series E-ISSN 2213-2783
issn_series 2213-2775
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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2213-2775 epth insights for the biomedical questions. It would be of interests for the researchers and practitioners who want to conduct the multi-omics studies in cancer, inflammation disease, and microbiome researches.978-981-19-8212-5978-981-19-8210-1Series ISSN 2213-2775 Series E-ISSN 2213-2783
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beyond simply the benefits of partnership work, to examine how successful partnerships can be initiated, enacted, and sustained over time. This book invites reflection on the following provocations: Why engage in partnerships for educational research? How has this happened in the past and what need
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Multi-Omics Data Analysis for Cancer Research: Colorectal Cancer, Liver Cancer and Lung Cancerways. We will briefly discuss the current state of colorectal cancer, liver cancer, and lung cancer research in this article. Additionally, we discuss various multi-omics analyses conducted in the fields of colorectal cancer, liver cancer, and lung cancer research, which provide insight into novel c
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Multi-Omics Data Analysis for Inflammation Disease Research: Correlation Analysis, Causal Analysis an-depth understanding of the gut microbiome and diseases. Nonetheless, the absence of systematic reviews of multi-omics approaches and their application to diseases restricts their application to microbiome research. As such, we took a holistic view of multi-omics approaches in the gut microbiome an
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