Machine Learning in Bioinformatics: From Zero to Hero

Overview:

The “Machine Learning in Bioinformatics: From Zero to Hero” workshop is an intensive, hands-on program designed to equip participants with essential skills to leverage machine learning (ML) in bioinformatics research. Spanning foundational Python programming to advanced ML techniques for omics data analysis, this course is tailored for computational biologists, data scientists, and bioinformaticians eager to apply ML in real-world scenarios.

Why Machine Learning in Bioinformatics Matters?

Machine learning empowers bioinformaticians to analyze complex biological data, uncover patterns, and accelerate discoveries in areas like genomics and personalized medicine. It enhances data interpretation, automates tasks, and drives innovation, making it essential for modern biological research.

After completing this workshop, you will be able to:

• Understand basic Python syntax and utilize libraries like Numpy and Pandas for data analytics.
• Determine whether ML is suitable for addressing specific research questions and datasets.
• Identify appropriate ML algorithms for analyzing various omics data types.
• Detect and mitigate issues like overfitting and underfitting in ML models.
• Explore strategies to enhance ML model performance and interpret results effectively.
• Develop practical ML classifiers for tasks like phenotype classification, cancer staging, and drug response prediction.