Computational life sciences : data engineering and data mining for life sciences / Jens Dörpinghaus, Vera Weil, Sebastian Schaaf, Alexander Apke, editors.
2022
QH324.2
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Details
Title
Computational life sciences : data engineering and data mining for life sciences / Jens Dörpinghaus, Vera Weil, Sebastian Schaaf, Alexander Apke, editors.
ISBN
9783031084119 (electronic bk.)
303108411X (electronic bk.)
9783031084102
3031084101
303108411X (electronic bk.)
9783031084102
3031084101
Published
Cham : Springer, 2022.
Language
English
Description
1 online resource : illustrations (black and white, and color).
Item Number
10.1007/978-3-031-08411-9 doi
Call Number
QH324.2
Dewey Decimal Classification
570.285574
Summary
This book broadly covers the given spectrum of disciplines in Computational Life Sciences, transforming it into a strong helping hand for teachers, students, practitioners and researchers. In Life Sciences, problem-solving and data analysis often depend on biological expertise combined with technical skills in order to generate, manage and efficiently analyse big data. These technical skills can easily be enhanced by good theoretical foundations, developed from well-chosen practical examples and inspiring new strategies. This is the innovative approach of Computational Life Sciences-Data Engineering and Data Mining for Life Sciences: We present basic concepts, advanced topics and emerging technologies, introduce algorithm design and programming principles, address data mining and knowledge discovery as well as applications arising from real projects. Chapters are largely independent and often flanked by illustrative examples and practical advise.
Note
Includes index.
Access Note
Access limited to authorized users.
Source of Description
Description based on print version record.
Added Author
Series
Studies in big data ; v. 112.
Available in Other Form
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Table of Contents
Interesting Programming Languages used in Life Sciences
Introduction to Java
Basic Data Processing
Algorithm Design
Data and Knowledge Management
Databases and Knowledge Graphs
Knowledge Discovery and AI approaches for the Life Sciences
Longitudinal Data.
Introduction to Java
Basic Data Processing
Algorithm Design
Data and Knowledge Management
Databases and Knowledge Graphs
Knowledge Discovery and AI approaches for the Life Sciences
Longitudinal Data.