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Computational Modeling and Machine Learning in Bioinformatics
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Author(s): Diego Mariano (Universidade Federal de Minas Gerais, Brazil), Lucas Moraes dos Santos (Universidade Federal de Minas Gerais, Brazil)and Raquel Cardoso de Melo-Minardi (Universidade Federal de Minas Gerais, Brazil)
Copyright: 2025
Pages: 30
Source title:
Effective Techniques for Bioinformatic Exploration
Source Author(s)/Editor(s): Paulo Fazendeiro (Instituto de Telecomunicações, Portugal & University of Beira Interior, Portugal)and Carmelina Leite (CEO of NEW APPROACH — Machine Learning for Pharma and Nutraceuticals)
DOI: 10.4018/979-8-3693-3192-7.ch004
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Abstract
In recent years, machine learning has revolutionized the world. Indeed, bioinformatics has benefited from machine learning techniques to make new scientific discoveries, such as producing new biotechnological products, discovering new drugs, and understanding the mechanism of action of diseases, among others. In this chapter, you will learn about machine learning methodologies, the types of machine learning, and the traditional algorithms used to build models. You will also learn about some strategies used for the computational modeling of biological problems with a special focus on the representation of structures in the data pre-processing stage.
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