Author

Sophia Tsoka

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Open access Jul 2026

Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences

SimSiam‐MuTF is introduced, a novel fine‐tuning framework to enhance the detection of resistance variants by explicitly aligning latent embedding distances with the corresponding shifts in binding affinity between WT and MT targets, which deepen the understanding of mutation‐induced resistance.

Xiaowen Hu, Pan Zhang, Shangqian Wu et al. · Advancement of science · 0 citations

Preprint Jul 2026

Biologically Informed Deep Neural Networks for Multi-Omic Integration, Pathway Activity Inference and Risk Stratification in Cancer

This work reports Pathway Activity Autoencoders for the multi-omics setting, which embed prior knowledge via pathway-informed architectural constraints, fostering interpretability, while preserving representational power, in the context of breast cancer.

Pedro Henrique da Costa Avelar, L. Ou-Yang, Min Wu et al. · 0 citations