snap-stanford/GEARS
GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
PythonMIT
Stargazers
- alexandra-valeanu
- ambisinistra
- ANakaScience Corporation
- asarigunBerlin Institute for Medical Systems Biology
- atong01@mila-iqia; @UdeM
- Aydin62Self-employed
- bkutluBristol Myers Squibb
- caufieldjhLawrence Berkeley National Laboratory
- chocolate9624
- DachengLi1
- dgomez2250@StanfordBioinformatics @MoTrPAC
- dohleeGalux Inc.
- dylanell
- fly51flyPRIS
- Grant-Rk
- gregjohnsoNewLimit
- huanhuan-liTsinghua University
- igunduzSaarland University
- iszengxin
- jarrydmartinxAustralian National University
- johnurbanikUnited States
- jyryu3161
- LeifYaoYuXiangBeijing
- Mitchell-xiyunfeng
- NickDST
- nicole1qInstitute of Computing Technology
- noamteyssierArc Institute
- ozkilimEötvös Lorand University
- pablormierHeidelberg University
- QijinYinTsinghua University
- rachittibrewalMatX
- RefrainTCMBZUAI
- sonderyugenfreedom
- sunwoongc
- SusanxuanThe Chinese University of Hong Kong
- xiachenruiPeking University