Soochow University
Suzhou, China · 2 authors
Soochow University (Suzhou, China): 2 authors and 11 papers in the de novo peptide sequencing catalog.
Papers (11)
- MassNet: billion-scale AI-ready mass spectral corpus empowering scalable deep learning in proteomics (2026, Nature Methods)
- A living proteomics benchmark for comprehensive evaluation of deep learning-based de novo peptide sequencing tools (2026, Nature Methods (Registered Report))
- Bidirectional Representations Augmented Autoregressive Biological Sequence Generation (2025, NeurIPS 2025)
- Bidirectional Representations Augmented Autoregressive Biological Sequence Generation (2025, arXiv)
- Universal Biological Sequence Reranking for Improved De Novo Peptide Sequencing (2025, ICML 2025)
- Universal Biological Sequence Reranking for Improved De Novo Peptide Sequencing (2025, arXiv)
- Distilling Non-Autoregressive Model Knowledge for Autoregressive De Novo Peptide Sequencing (2025, OpenReview)
- π-PrimeNovo: an accurate and efficient non-autoregressive deep learning model for de novo peptide sequencing (2025, Nature Communications)
- RankNovo: A Universal Reranking Approach for Robust De Novo Peptide Sequencing (2024, OpenReview)
- π-PrimeNovo: an accurate and efficient non-autoregressive deep learning model for de novo peptide sequencing (2024, bioRxiv)
- ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing (2024, AAAI 2024)