Published in Nature communications, 2023
*Co-first author
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Recommended citation: Han, W.*, Chen, N.*, Xu, X.* et al. Predicting the antigenic evolution of SARS-COV-2 with deep learning. Nat Commun 14, 3478 (2023). https://doi.org/10.1038/s41467-023-39199-6 https://www.nature.com/articles/s41467-023-39199-6
Published in Nature communications, 2023
Recommended citation: Shim, I.*, Kuwahara, H.*, Chen, N.*, et al. Clinical utility of polygenic scores for cardiometabolic disease in Arabs. Nat Commun 14, 6535 (2023). https://doi.org/10.1038/s41467-023-41985-1 https://www.nature.com/articles/s41467-023-41985-1
Published in Genome Medicine, 2023
Recommended citation: Bhattacharya, R.*, Chen, N.*, Shim, I., Kuwahara, H., Gao, X., Alkuraya, F.S., & Fahed, A.C. (2023). Massive underrepresentation of Arabs in genomic studies of common disease. Genome Medicine, 15, 99. https://doi.org/10.1186/s13073-023-01254-8 https://genomemedicine.biomedcentral.com/articles/10.1186/s13073-023-01254-8
Published in ML4LMS Workshop at ICML 2024, 2024
Recommended citation: Chen, N.,Han, W., & Reddy, S.T. (2024). Benchmarking probabilistic machine learning in protein fitness landscape predictions. ML4LMS Workshop at ICML 2024. https://openreview.net/forum?id=eJd8aliHai https://openreview.net/forum?id=eJd8aliHai
Published in ML4LMS Workshop at ICML 2024, 2024
Recommended citation: Zhang, R.*, Chen, N.*,, Zhou, F., & Gao, X. (2024). Navigating Trustworthiness of Deep Learning in ∆∆G Prediction: Addressing Data Bias, Model Evaluation, and Interpretation. ML4LMS Workshop at ICML 2024. https://openreview.net/forum?id=XU1ACMwTlr https://openreview.net/forum?id=XU1ACMwTlr