Aliro: Accessible Data Science¶
Aliro is an easy-to-use data science assistant. It allows researchers without machine learning or coding expertise to run supervised machine learning analysis through a clean web interface. It provides results visualization and reproducible scripts so that the analysis can be taken anywhere. And, it has an AI assistant that can choose the analysis to run for you.
About the Project¶
Aliro is actively developed by the Center for Artificial Intelligence Research (CAIR) in the Department of Computational Biomedicine at Cedars-Sinai Medical Center in Los Angeles. Contributors include Hyunjun Choi, Miguel Hernandez, Nick Matsumoto, Jay Moran, Paul Wang, and Jason Moore (PI). You can find our original position paper on arxiv. A more recent preprint describing the AI methodology will be available on arxiv soon. Stay tuned!