Author

Ming-On Kang

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Open access Aug 2026

PINT: Pathway-pathway interactions for predicting interpretable clinical outcomes from gene expression

A pathway-based attentive interpretability model, named PINT, that models interactions among pathways through a self-attention mechanism from gene expression data, and identifies pathways significantly associated with survival as well as reveals biologically meaningful interactions among pathways.

Sai Phani Parsa, Beomsu Baek, Euiseong Ko et al. · bioRxiv · 0 citations

Open access Aug 2026

Multi-modal Graph Integration for Biologically Interpretable Domain Identification Using Spatial Transcriptomics

A novel Biologically Interpretable multi-modal Graph using Spatial Transcriptomics, called BIGraph-ST, that integrates pathway activity scores and histological image features for robust spatial domain identification and provides biologically interpretable pathway-level representations of domains, which ultimately offer...

Seungeun Lee, Guolon Wang, Kyungtae Kang et al. · bioRxiv · 0 citations