Autors: Ivanova, D. A., Nenchovski, B. A.
Title: Big data bioinformatics discoveries: Machine learning approaches, tools, and perspectives
Keywords: Machine learning, Knowledge, Bioinformatics

Abstract: This paper examines the analysis of the different data types within the field of Bioinformatics. The aim is to study and handpick machine learning algorithms that are best suited for handling large datasets and data compendia with its specific features. The paper proposes a specific informed approach for analyzing each bioinformatics data type, combining, and comparing existing knowledge on the use of machine learning algorithms.



    AIP AMEE 2022, vol. 2939, issue 1, pp. Article 020006, 2023, Bulgaria, AIP Conference Proceedings,

    Copyright AIP Conference Proceedings

    Вид: публикация в международен форум, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus и Web of Science