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Ge Kong

2 accepted papers

2025

GATOmics: A Novel Multi-Omics Graph Attention Network Model for Cancer Driver Gene Detection

Ge Kong, Jiao Wang, Juan Wang
ICASSP 2025accepted

Identifying cancer driver genes remains challenging due to the complexity of gene interactions in cancer genomics. Existing methods often face difficulties in integrating multidimensional biological data, which limits their ability to capture diverse gene relationships. GATOmics, a novel multi-omics…

Cited by 0Source ↗Scholar ↗
2025

TriFP-NGram: Integrating Three Complementary Fingerprint and N-Gram Features for Enhanced Drug-Target Affinity Prediction

Jiao Wang, Ge Kong, Juan Wang
ICASSP 2025accepted

Accurate prediction of drug-target affinity plays a vital role in drug discovery and design. TriFP-NGram integrates multiple fingerprint and n-gram features to predict drug-target binding affinities. It surpasses current methods by leveraging a comprehensive set of molecular and protein features, en…

Cited by 0Source ↗Scholar ↗