Hands-on Training: Four Interpretable Machine Learning Techniques to Immediately Accelerate your Research |
Monday, February 17, 2025 from 1:30 - 3:30 PM at BPS 2025.
Are you eager to accelerate your work through data science and interpretable machine learning, but unsure where to begin? This beginner-friendly training session is your gateway to utilizing these powerful tools without needing any prior coding experience or software setup. Hosted by the newly established NSF National Center for Emergence in Molecular and Cellular Sciences (NCEMS), this hands-on session will equip you with the skills to harness the four most widely used data science techniques. You will learn how to calculate the association between a feature and a phenomenon; identify key features driving biological behaviors; control for confounding factors; and avoid common pitfalls like data overinterpretation. In addition, you will learn how to state your results in plain English. Through interactive Jupyter notebook exercises, we will dive into the theory and scope of these methods and guide you in interpreting their outputs. By the end of the session, you’ll have the chance to apply these techniques directly to your own datasets, empowering you to make more informed, impactful discoveries in your research. This training is designed specifically to benefit biophysicists, offering practical, easy-to-use methods that can be broadly applied across the field. Space is limited to just 50 participants at any career stage, so don’t miss out on this valuable opportunity.
Please complete the form below to sign up for this session. Participation is limited to 50 attendees. Registration for the BPS 2025 Annual Meeting is required.