Computational life sciences : data engineering and data mining for life sciences / Jens Dörpinghaus, Vera Weil, Sebastian Schaaf, Alexander Apke, editors.
Dörpinghaus, Jens, editor.; Weil, Vera, editor.; Schaaf, Sebastian, editor.; Apke, Alexander, editor.
2022
QH324.2
Available Online

Linked e-resources

Linked Resource Online Access
Concurrent users Unlimited
Authorized users Authorized users
Document Delivery Supplied Can lend chapters, not whole ebooks

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
DOI https://doi.org/10.1007/978-3-031-08411-9
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 Dörpinghaus, Jens, editor.
Weil, Vera, editor.
Schaaf, Sebastian, editor.
Apke, Alexander, editor.
Series Studies in big data ; v. 112.
Available in Other Form Computational life sciences.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
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.

Browse Subjects

Show more subjects...

Statistics

from
to
Export