Application of machine learning methods in bioinformatics
Abstract
Faced with the development of bioinformatics, high-throughput genomic technology have enabled biology to enter the era of big data. [1] Bioinformatics is an interdisciplinary, including the acquisition, management, analysis, interpretation and application of biological information, etc. It derives from the Human Genome Project. The field of machine learning, which aims to develop computer algorithms that improve with experience, holds promise to enable computers to assist humans in the analysis of large, complex data sets.[2]. This paper analyzes and compares various algorithms of machine learning and their applications in bioinformatics.
- Publication:
-
6th International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation (CDMMS 2018)
- Pub Date:
- May 2018
- DOI:
- 10.1063/1.5039089
- Bibcode:
- 2018AIPC.1967d0015Y