LIPNovo+

algorithm · Latent imputation

LIPNovo+: algorithm · Latent imputation. Self-reflective extension of LIPNovo that finds the fragmentation sites where latent imputation is unreliable and refocuses training on them through a reflection-guided…

Self-reflective extension of LIPNovo that finds the fragmentation sites where latent imputation is unreliable and refocuses training on them through a reflection-guided curriculum, so the model is not limited to the missingness patterns seen during training.

Kind	algorithm
Deep learning	yes
Acquisition	DDA
Family	Latent imputation

Code

• https://github.com/usr922/LIPNovo

Live stars, open issues and last-push figures are on the Code activity chart.

Paper describing it

• LIPNovo+: Self-Reflective Latent Imputation for Robust De Novo Peptide Sequencing (2026, SSRN Electronic Journal, preprint)

Authors (5)

Ye Du, Qian Niu, Chen Yang, Nanxi Yu, Shujun Wang

Seen in the charts

• The architectures
• Code activity
• Models and the authors behind them

Back to the full map