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Ming-Qi Wang

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Open access Jul 2026

Multi-omics fusion with machine learning enables robust prediction of treatment response in ovarian cancer for precision population health.

Inter-patient heterogeneity complicates predicting treatment response in ovarian cancer (OC). We developed OMICS-FUSE, an early-fusion multi-omics predictive model integrating proteomic, transcriptomic, and methylomic data from OC patients, evaluated across five machine learning algorithms with SHapley Additive exPlana...

Jie Chen, Tianshi Mao, Yu Yang et al. · 0 citations

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