Author

Yebin Ryu

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Open access Aug 2026

AI-driven framework modeling perturbation in brain organoids reveals candidate genes for autism

This framework integrates predicted perturbation effects with genomic evidence to support autism candidate prioritization and identifies a telencephalic neuron-specific model best preserving autism-relevant perturbation structure.

I. Koh, E. Chang, Youngseok Choi et al. · bioRxiv · 0 citations

Open access Aug 2026

megaMine: a scalable, rule-based framework for mining gene-cancer-drug evidence from biomedical literature

The rapid expansion of the oncology literature has outpaced manual curation of clinically relevant gene-cancer-drug associations and oncogenic driver evidence. Existing automated approaches often lack transparency or are difficult to scale across heterogeneous data sources. To address this gap, we developed megaMine, a...

Muhammad Junaid, K. Prazanowska, Ha-Eun Jeong et al. · bioRxiv · 0 citations