Hierarchical confounder discovery in the experiment-machine learning cycle

Rogozhnikov, A., Ramkumar, P., Bedi, R., Kato, S., & Escola, G. S. (2022). Hierarchical confounder discovery in the experiment-machine learning cycle. Patterns, 3(4), 100451. https://doi.org/10.1016/j.patter.2022.100451
Authors:
Alex Rogozhnikov
Pavan Ramkumar
Rishi Bedi
Saul Kato
G. Sean Escola
Affiliated Authors:
G. Sean Escola
Columbia Affiliation:
Author Keywords:
bias
confounders
debiasing
dsml 3: development/pre-production: data science output has been rolled out/validated across multiple domains/problems
experimental design
hierarchical confounders
machine learning
mann-whitney u test
robustness
stem cell biology
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Publication Type:
Article
Unique ID:
10.1016/j.patter.2022.100451
DOI:
10.1016/j.patter.2022.100451
Journal:
Patterns
Publication Date:
Data Source:
Scopus
Source Link:
View Scopus Record
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Record Created: