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Found 2 papers, 1 papers with code
A large dataset curation and benchmark for drug target interaction
In this paper we propose a way to standardize and represent efficiently a very large dataset curated from multiple public sources, split the data into train, validation and test sets based on different meaningful strategies, and provide a concrete evaluation protocol to accomplish a benchmark.
Adversarial Balancing for Causal Inference
Biases in observational data of treatments pose a major challenge to estimating expected treatment outcomes in different populations.
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