Computational Life Sciences: Data Engineering and Data Mining for Life Sciences
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Bibliographic Details
Other Authors: Dörpinghaus, Jens (Editor), Weil, Vera (Editor), Schaaf, Sebastian (Editor), Apke, Alexander (Editor)
Format: Electronic eBook
Language:English
Published: Cham Springer International Publishing 2022
Cham Springer
Edition:1st ed. 2022
Series:Studies in Big Data 112
Subjects:
Links:https://doi.org/10.1007/978-3-031-08411-9
https://doi.org/10.1007/978-3-031-08411-9
https://doi.org/10.1007/978-3-031-08411-9
https://doi.org/10.1007/978-3-031-08411-9
https://doi.org/10.1007/978-3-031-08411-9
https://doi.org/10.1007/978-3-031-08411-9
https://doi.org/10.1007/978-3-031-08411-9
https://doi.org/10.1007/978-3-031-08411-9
https://doi.org/10.1007/978-3-031-08411-9
https://doi.org/10.1007/978-3-031-08411-9
https://doi.org/10.1007/978-3-031-08411-9
https://doi.org/10.1007/978-3-031-08411-9
https://doi.org/10.1007/978-3-031-08411-9
https://doi.org/10.1007/978-3-031-08411-9
https://doi.org/10.1007/978-3-031-08411-9
https://doi.org/10.1007/978-3-031-08411-9
https://doi.org/10.1007/978-3-031-08411-9
Physical Description:1 Online-Ressource (XII, 598 p. 259 illus., 155 illus. in color)
ISBN:9783031084119
ISSN:2197-6511
DOI:10.1007/978-3-031-08411-9