Statistical modelling and machine learning principles for bioinformatics techniques, tools, and applications /

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Bibliographic Details
Imprint:Singapore : Springer, 2020.
Description:1 online resource (318 pages)
Language:English
Series:Algorithms for Intelligent Systems
Algorithms for intelligent systems.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12603492
Hidden Bibliographic Details
Other authors / contributors:Srinivasa, K. G., editor.
Siddesh, G. M., 1981- editor.
Manisekhar, S. R., editor.
ISBN:9789811524455
9811524459
9789811524448
9811524440
9789811524448
9789811524462
9811524467
9789811524479
9811524475
Digital file characteristics:text file PDF
Notes:Print version record.
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.
Other form:Print version: Srinivasa, K.G. Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications. Singapore : Springer, ©2020 9789811524448
Standard no.:10.1007/978-981-15-2445-5