Description: Methodologies of Multi-Omics Data Integration and Data Mining: Techniques and Applications (Translational Bioinformatics) [Paperback] Ning, Kang Product Overview 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. Read more Details Publisher : Springer; 1st ed. 2023 edition (January 16, 2024) Language : English Paperback : 180 pages ISBN-10 : 9811982120 ISBN-13 : 25 Item Weight : 10 ounces Dimensions : 6.1 x 0.41 x 9.25 inches Best Sellers Rank: #10,578,707 in Books (See Top 100 in Books) #2,073 in Medical Informatics (Books) #2,566 in Bioinformatics (Books) #3,639 in Anatomy & Physiology (Books) #2,073 in Medical Informatics (Books) #2,566 in Bioinformatics (Books) We have been selling used books since 2012, and we've learned that the most important thing is doing good business. Honesty is our policy. Free Shipping We ship worldwide. We have multiple warehouses around the world, so please note the extended handling time on certain listings.
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ISBN: 9811982120
ISBN10: 9811982120
ISBN13: 9789811982125
EAN: 9789811982125
MPN: does not apply
Brand: NA
GTIN: 09789811982125
Number of Pages: Xi, 167 Pages
Language: English
Publication Name: Methodologies of Multi-Omics Data Integration and Data Mining : Techniques and Applications
Publisher: Springer
Subject: General, Research, Bioinformatics
Publication Year: 2024
Type: Textbook
Item Weight: 10 Oz
Item Length: 9.3 in
Author: Kang Ning
Subject Area: Mathematics, Computers, Medical
Item Width: 6.1 in
Series: Translational Bioinformatics Ser.
Format: Trade Paperback