2 papers
q-bio.BM2025
Modeling Dabrafenib Response Using Multi-Omics Modality Fusion and Protein Network Embeddings Based on Graph Convolutional Networks
La Ode Aman, A Mu'thi Andy Suryadi, Dizky Ramadani Putri Papeo +4
Cancer cell response to targeted therapy arises from complex molecular interactions, making single omics insufficient for accurate prediction. This study develops a model to predic…
q-bio.GN2025
Prediction of PLX-4720 Sensitivity in Cancer Cell Lines through Multi-Omics Integration and Attention-Based Fusion Modeling
La Ode Aman, Arfan Arfan, Aiyi Asnaw +3
Predicting the sensitivity of cancer cell lines to PLX-4720, a preclinical BRAF inhibitor, requires models capable of capturing the multilayered regulation of oncogenic signaling.…