DIANovo

algorithm · Transformer (AR)

DIANovo: algorithm · Transformer (AR). Transformer-based de novo sequencer for DIA: disentangles coeluted/multiplexed precursor spectra. Presented in Zheng Ma’s arXiv preprint (2024) and his PhD thesis (2025).

Transformer-based de novo sequencer for DIA: disentangles coeluted/multiplexed precursor spectra. Presented in Zheng Ma’s arXiv preprint (2024) and his PhD thesis (2025).

Kind algorithm
Deep learning yes
Acquisition DIA
Family Transformer (AR)

Code

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

Checkpoints

Version Trained on Host Licence Size Checked Backup
GNova-Astral_pretrain — git-LFS Apache-2.0 516 MB verified 2026-10-02 copy
RGNova-Astral_op — git-LFS Apache-2.0 2.1 GB verified 2026-10-02 copy
RGNova-Astral_sg — git-LFS Apache-2.0 2.1 GB verified 2026-10-02 copy

A host marked archival has a DOI and keeps what it is given. The others can move or disappear, which is why they are checked rather than merely listed. verified means the bytes were fetched and hashed on the date shown; live means only that the host answered when last asked. Where a copy is linked, it is a backup of someone else’s weights kept in case the original link goes stale; the original is the link to cite and to prefer.

Data

What the papers describing this method trained it on and reported its results on, as each paper states it. A version is named only where the paper names one.

Trained on

Evaluated on

Also used, purpose not recorded

Papers describing it (2)

Authors (8)

Zheng Ma, Zeping Mao, Ruixue Zhang, Jiazhen Chen, Lei Xin, Baozhen Shan, Ali Ghodsi, Ming Li

Seen in the charts

Back to the full map

Back to top