Hands-On Workshop: Machine Learning for Computational Biology
Workshop participants working on ML modelsSmith Lab Training Center
Science Building Room 201, Excellence City, EC 12345
Workshop Overview
This intensive one-day workshop provides hands-on experience with machine learning techniques specifically designed for computational biology applications.
Learning Objectives
By the end of this workshop, participants will be able to:
- Set up ML environments for biological data analysis
- Implement deep learning models for protein structure prediction
- Analyze genomic datasets using neural networks
- Evaluate model performance and biological relevance
Schedule
9:00-10:30 AM: Introduction to ML for Biology
10:45-12:00 PM: Hands-on: Setting up DeepFold
1:00-2:30 PM: Genomic Data Analysis with Python
2:45-4:00 PM: Building Custom Neural Networks
4:15-5:00 PM: Project Presentations & Wrap-up
Prerequisites
- Basic Python programming experience
- Undergraduate-level biology or chemistry background
- Laptop with Python 3.8+ installed
- GitHub account for accessing materials
Instructors
Dr. Michael Chen - Postdoctoral researcher specializing in ML for protein structure prediction
Sarah Johnson - PhD student with expertise in genomic data analysis
Registration
Capacity: Limited to 20 participants for optimal hands-on experience
Cost: Free (materials and lunch included)
Deadline: November 1, 2024
Contact
Questions? Email workshops@example.edu or contact Dr. Michael Chen directly.
