RT-GCTnovo

algorithm · Transformer (NAR)

RT-GCTnovo: algorithm · Transformer (NAR). Combines Transformer encoders with convolutional layers to capture global and local spectral features, fuses them through a sigmoid gate, adds retention time as a…

Combines Transformer encoders with convolutional layers to capture global and local spectral features, fuses them through a sigmoid gate, adds retention time as a constraint, and decodes semi-autoregressively with dynamic mass masks.

Kind	algorithm
Deep learning	yes
Acquisition	DDA
Family	Transformer (NAR)

Paper describing it

• RT-GCTnovo: A Peptide De Novo Sequencing Model Incorporating Gated Multi-scale Features and Dynamic Mass Masks (2025, 2025 18th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), peer-reviewed)

Authors (5)

Nan Liu, Hang Zhang, Ningning Qiu, Chenghui Liu, Binhai Zhu

Seen in the charts

• The architectures

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