Author

Lei Deng

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Jul 2026

Enhancing Medical Data Imputation Using a Denoising Autoencoder with Missing-Neighborhood Perturbation.

Experimental results demonstrate that MI_NPDAE consistently outperforms baseline methods across various missing mechanisms and ratios, maintaining lower imputation errors, and the imputed data significantly improves performance in downstream predictive tasks, highlighting the practical value of the approach in clinical...

Huamei Qi, Chen Cao, Wenhui Yang et al. · IEEE Transactions on Nanobio... · 0 citations

Open access Aug 2026

Pocket-PROTACs: an interpretable pocket-aware deep learning framework for predicting PROTAC-induced protein degradation

Pocket-PROTACs is proposed, a pocket-aware attention-based framework for predicting PROTAC-induced protein degradation from a triplet of POI, E3 ligase, and PROTAC, which consistently outperforms fingerprint-based baselines and recent deep learning methods.

Kai Chen, Zhijian Huang, Yinbo Wang et al. · Bioinformatics · 0 citations

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