EL-PERTURB, a systematic benchmarking framework to evaluate few-shot prediction performance across in silico models that integrate experimental perturbational data across contexts with biological prior knowledge about perturbation (gene) identity.

A centralized design token system for Polly applications. This package provides a comprehensive set of design tokens that can be used across multiple projects to maintain consistent theming.

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Multi-agent AI tool for Metadata Review, Validation and Appending

Python utility for automated ontology tagging for curation

Predicting Medication Discontinuation Within 100 Days (with Interpretability Insights)