SydneyBioX/scMerge
Statistical approach for removing unwanted variation from multiple single-cell datasets
R
Stargazers
- adamhsparksCCDM-CBADA
- ccshao
- certifiedwaifUniversity of Sydney
- cloudbroken
- codetraineeMelbourne, VIC
- cryptick-labPerth, Western Australia
- elfore
- fredmonroesplat.ai
- ganiatgithubMonash Univeristy
- gardinersSydney, Australia
- genecell
- gravitytrope
- HenrikBengtssonUCSF
- hmkimAWS
- jfx319
- kevinrueUniversity of Oxford
- kevinwang09Illumina
- lxhuang7
- makimenkovaMoscow
- mengchengyao
- milescsmithOklahoma Medical Research Foundation
- mjsteinbaugh@merck
- mnarayan@neuroquant
- PurineyMD Anderson Cancer Center
- saksham219
- shulp2211
- singhranjodhIndia
- siobhon-eganMurdoch University
- th86New York
- tomashhurst@sydneycytometry
- varianiHarvard University
- wflynny@TheJacksonLaboratory
- wumed
- XethicHelmholtz-Institute for Pharmaceutical Research Saarland (HIPS) | Center for Bioinformatics (CBI)
- xjyang01
- zacharylau10