HannesStark/protein-localization
Using Transformer protein embeddings with a linear attention mechanism to make SOTA de-novo predictions for the subcellular location of proteins :microscope:
Jupyter NotebookMIT
Stargazers
- 1511878618UCAS
- akashbahai@LKCMed
- alia-abbas
- Azai-yx
- bizhen46766Zhejiang University
- cherishguang
- ChrisAllenMingMila - Quebec AI Institute
- cpoptic-twist
- dandandanjiang
- ddofer@SparkBeyond @LinialLab @Comocomo
- deweihu96Novo Nordisk Foundation Center for Protein Research, University of Copenhagen
- Dsadd4
- EmaadKhwaja@Datadog
- engelberger
- finngaida@NoMaze
- fourpartswater
- francescopatane96SynBio, University of Padova
- HakeemDemiLondon UK
- hejl666
- jafetgadoNational Renewable Energy Laboratory
- jiaqingxieETH Zürich
- joskid
- KohzeVaionex
- kriswangchunyan
- mainpypOneCareer
- mdamgaard-biolib
- missuse@Parexel
- mricosMaintainer at @study-groups
- ratthachat
- sacdallago@NVIDIA
- saiden89Novo Nordisk Foundation Center for Protein Research
- sheetalgiriEarth
- xixinhy
- yunxiangfu2001
- zhaoyanpeng208
- zodapeharshalIIIT NAGPUR