Abstract
For most of us, machine learning may be the latest trending word in the current tech-based world but in reality, it was originated back in the early ages of 1959 by Arthur Lee Samuel, an American pioneer who was deeply involved in computer gaming and artificial intelligence. However, since then machine learning, a part of artificial intelligence has evolved remarkably. One of the areas of interest in which machine learning is devoted is bioinformatics research. It serves as an advanced tool in bioinformatics area which deals with molecular phenotypes, drug discovery, and aids in determining unfamiliar diseases. The inclusion of machine learning has given bioinformatics the required boost to quicken the development involved in the field of bioinformatics. This paper gives a detailed overview of the impact of machine learning in the field of bioinformatics.
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Naresh, E., Vijaya Kumar, B.P., Ayesha, Shankar, S.P. (2020). Impact of Machine Learning in Bioinformatics Research. In: Srinivasa, K., Siddesh, G., Manisekhar, S. (eds) Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-2445-5_4
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DOI: https://doi.org/10.1007/978-981-15-2445-5_4
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