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- W4319594016 abstract "Bioinformatics is a field of study that focuses on the use of computing to obtain information from biological data. It covers the acquisition, storage, extraction, manipulation, and modeling of data for the purpose of analysis and prediction via the development of algorithms and software. Deep learning (DL) techniques are especially suited to big-size data and, therefore, this method is used in knowledge discovery in bioinformatics. The techniques of DL play a vital role in successful bioinformatics exploration from a biological data point of perspective. In bioinformatics, the task of making biological large data useful has been one of the most critical issues. In this chapter, to give a broad view, we will categorize research both by the bioinformatics and DL area, and present brief descriptions of all methods including limitations and future work of DL in bioinformatics." @default.
- W4319594016 created "2023-02-09" @default.
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- W4319594016 date "2023-02-08" @default.
- W4319594016 modified "2023-10-14" @default.
- W4319594016 title "Deep Learning Approaches, Algorithms, and Applications in Bioinformatics" @default.
- W4319594016 doi "https://doi.org/10.1201/9781003328780-1" @default.
- W4319594016 hasPublicationYear "2023" @default.
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