ปัญญาประดิษฐ์สำหรับการวิเคราะห์ข้อมูลจีโนมทางชีวสารสนเทศศาสตร์

This three-week course at Taipei Medical University builds on the "Artificial Intelligence in Bioinformatics" course to enhance practical skills in AI applications for bioinformatics. Through real-world case studies, participants will learn to use WEKA, a Java-based tool, for collecting and analyzing bioinformatics data. Topics include AI in genome sequencing, protein function prediction, and gene expression. The course also covers deep learning concepts like CNNs, RNNs, and NLP, focusing on their bioinformatics applications. By the end, learners will be equipped with the skills to apply AI in research and data visualization, and to contribute to bioinformatics innovations.