Statistical modelling and machine learning principles for bioinformatics techniques, tools, and applications / K.G. Srinivasa, G.M. Siddesh, S.R. Manisekhar, editors.

This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas of bioinformatics. It also highlights the role of computing and machine learning in knowledge extraction from biological data, and how this knowledge can be applied...

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Bibliographic Details
Other Authors: Srinivasa, K. G. (Editor), Siddesh, G. M., 1981- (Editor), Manisekhar, S. R. (Editor)
Format: eBook
Language:English
Published: Singapore : Springer, 2020.
Series:Algorithms for intelligent systems.
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Online Access:Click for online access
Description
Summary:This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas of bioinformatics. It also highlights the role of computing and machine learning in knowledge extraction from biological data, and how this knowledge can be applied in fields such as drug design, health supplements, gene therapy, proteomics and agriculture.
Physical Description:1 online resource (318 pages)
ISBN:9789811524455
9811524459
9811524440
9789811524448
9789811524462
9811524467
9789811524479
9811524475
Source of Description, Etc. Note:Print version record.