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Certificate of Achievement
has completed the following course:
Artificial Intelligence in Bioinformatics
Artificial intelligence (AI) is the future of bioinformatics to mathematically interpret biological data and provide statistical information. It is currently employed in genomic sequencing, protein function and structure prediction, gene expression examination, as well as metabolic pathway determination, among others. This course provides a basic concept of AI (including machine learning and deep learning) and its application in bioinformatics data.
3 weeks, 2 hours per week
Le Nguyen Quoc Khanh
Associate Professor, Professional Master Program in Artificial Intelligence in Medicine,
Taipei Medical University
Transcript
Learning outcomes
- Collect and explore bioinformatics data from public resources
- Apply different AI models in bioinformatics data to understand a variety of biological processes
- Develop a standard framework for AI-based bioinformatics study that can be applied to different datasets
- Summarise and report the results to generate a bioinformatics paper for publication purpose
Syllabus
- Overview on bioinformatics
- Artificial Intelligence and how to apply it to bioinformatics
- Feature engineering
- Feature learning
- Deep learning in bioinformatics
- Analyzing and visualizing data
Issued on 31st May 2021
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