AI in Molecular Biology

Content

• DNA, RNA, and Protein Sequence Analysis tasks
• Biological foundations and alignment with core AI paradigms
• Biological databases and development of benchmark datasets
• DANN, RNA and protein sequence encoding methods.
• Word embedding methods and applications in sequence analysis.
• Large Language models and applications in sequence analysis
• AI applications in CRISPR system
• Biomarker Discovery

Materials

We use OLAT to organize this course.

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