Related Experiment Videos
Data science, human intelligence, and therapeutics discovery: An interview with Sean Escola, Saul Kato, and Pavan
Pavan Ramkumar1, Saul Kato1,2, G Sean Escola1,3
1Herophilus, Inc, San Francisco, CA 94107, USA.
Patterns (New York, N.Y.)
|April 25, 2022
Abstract:
Sean Escola, Saul Kato, and Pavan Ramkumar explain the importance of data science in their research. They have developed a simple non-parametric statistical method called the Rank-to-Group (RTG) score that identifies hierarchical confounder effects in raw data and machine learning-derived data embeddings. This approach should be generally useful in experiment-analysis cycles and to ensure confounder robustness in machine learning models.