Machine Learning Techniques in Drug Discovery and Development
نویسندگان
چکیده
منابع مشابه
Advances in the Application of Machine Learning Techniques in Drug Discovery, Design and Development
Machine learning tools, in particular support vector machines (SVM), Particle Swarm Optimisation (PSO) and Genetic Programming (GP), are increasingly used in pharmaceuticals research and development. They are inherently suitable for use with 'noisy', high dimensional (many variables) data, as is commonly used in cheminformatic (i.e. In silico screening), bioinformatic (i.e. bio-marker studies, ...
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Machine learning techniques have been widely used in drug discovery and development, particularly in the areas of cheminformatics, bioinformatics and other types of pharmaceutical research. It has been demonstrated they are suitable for large high dimensional data, and the models built with these methods can be used for robust external predictions. However, various problems and challenges still...
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ژورنال
عنوان ژورنال: International Journal of Applied Research
سال: 2021
ISSN: 2394-7500,2394-5869
DOI: 10.22271/allresearch.2021.v7.i4a.8455