Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications
| Author | : K. G. Srinivasa |
| Publisher | : Springer Nature |
| Total Pages | : 318 |
| Release | : 2020-01-30 |
| ISBN-13 | : 9789811524455 |
| ISBN-10 | : 9811524459 |
| Rating | : 4/5 (59 Downloads) |
Book Synopsis Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications by : K. G. Srinivasa
Download or read book Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications written by K. G. Srinivasa and published by Springer Nature. This book was released on 2020-01-30 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
