The Power of Machine Learning in the Biological Context

Johannes Stübinger
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Johannes Stübinger: Department of Statistics and Econometrics, University of Erlangen-Nürnberg, Germany

Biostatistics and Biometrics Open Access Journal, 2019, vol. 9, issue 4, 102-104

Abstract: In the recent past, both the rapid growth of big data and the exponential increase in computing power have enabled the use of Machine Learning. In biology, too, this type of artificial intelligence finds very great accusation, as it opens new fields of research. Therefore, this paper provides a comprehensive overview of Machine Learning in biology by consolidating and organizing the extensive literature available in this field of research.

Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:9:y:2019:i:4:p:102-104

DOI: 10.19080/BBOAJ.2019.09.555770

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