10 Simple Rules for Working Effectively with LLMs in Biological Data Analysis
To Know
Where:
Online
Organizer:
NIAID BCBB
Presented By:
Joanne Berghout PhD (NIAID OCICB BCBB)
About this Class
Join us for a webinar on how to get meaningful, scientifically appropriate results from large language models when analyzing biological and biomedical data. Whether you work with clinical genetics data, experimental assay results, or any data generated from your research, this session will help you communicate your biological knowledge and data context clearly.
What You Will Learn
Attendees will gain practical skills to design, conduct, and interpret LLM-assisted code and data analysis strategies effectively, including:
- Developing clear, quantitative research questions to test
- Accurately describing your experimental design to a skilled but “naive” collaborator
- Basics of preparing and organizing data for computational analysis, and communicating these in a way a computer will recognize appropriately
- Overview of basic analysis concepts
- Understand biases and common pitfalls to avoid them
- Best practices for documenting and archiving a dataset, analysisand/or workflow
- Ensuring human accountability for the conclusions