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Computational life sciencesdata engineering and data mining for life sciences /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computational life sciencesedited by Jens Dorpinghaus ... [et al.].
其他題名:	data engineering and data mining for life sciences /
其他作者:	Dorpinghaus, Jens.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	xii, 598 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Life sciencesData processing.
電子資源:	https://doi.org/10.1007/978-3-031-08411-9
ISBN:	9783031084119$q(electronic bk.)

Computational life sciencesdata engineering and data mining for life sciences /
Computational life sciencesdata engineering and data mining for life sciences /[electronic resource] :edited by Jens Dorpinghaus ... [et al.]. - Cham :Springer International Publishing :2022. - xii, 598 p. :ill., digital ;24 cm. - Studies in big data,v. 1122197-6511 ;. - Studies in big data ;v.1..

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.

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.

ISBN: 9783031084119$q(electronic bk.)

Standard No.: 10.1007/978-3-031-08411-9doiSubjects--Topical Terms:

619155
Life sciences
--Data processing.

LC Class. No.: QH324.2

Dewey Class. No.: 570.285574

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