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cs.AI2024★ 2 cited
Does your model understand genes? A benchmark of gene properties for biological and text models
Yoav Kan-Tor, Michael Morris Danziger, Eden Zohar +2
The application of deep learning methods, particularly foundation models, in biological research has surged in recent years. These models can be text-based or trained on underlying…
stat.ME2024
Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation
Lucile Ter-Minassian, Liran Szlak, Ehud Karavani +2
Interpretability and transparency are essential for incorporating causal effect models from observational data into policy decision-making. They can provide trust for the model in…