Statistical modelling and machine learning principles for bioinformatics techniques, tools, and applications /
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Imprint: | Singapore : Springer, 2020. |
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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 |
Other authors / contributors: | Srinivasa, K. G., editor. Siddesh, G. M., 1981- editor. Manisekhar, S. R., editor. |
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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 |
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