Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications
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Beschreibung
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.
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.
Covers the latest research in the area of bioinformatics and machine learning Highlights the application of knowledge from biological data in various domains Is useful for researchers and academics in the area of computer science, data analytics, machine learning and related areas
Autor*in
K. G. Srinivasa
Themen in »Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications«
Bioinformatics Machine Learning Statistical Modelling Genomics Proteomics Data Analytics Structural Predition