A Python package to perform unsupervised discoveries of motifs from tandem mass spectrometry data.
Python TODO:
- Add codes from the lda repo.
- Tidy up codes, and keep only the ones we actually use.
- MolnetEnhancer support
- MotifDB support when running LDA inference
- MESSAR support
- Labelled LDA support
- Matchms compatibility
- PALS support
- Create a Python package
Maybe:
- MAGMa-MS2LDA support
- Gensim support
- Classyfire functions
Visualisation TODO:
- Setup skeleton project for the offline viewer
MS2LDA.org TODO:
- Replace the lda codes used on the server with this package
- Migrate server to Django 2.0 / Python 3