Yuhan Hao's repositories
C-Tran
General Multi-label Image Classification with Transformers
Language:PythonMIT000
Language:PythonMIT000
CPA
The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level. CPA performs OOD predictions of unseen combinations of drugs, learns interpretable embeddings, estimates dose-response curves, and provides uncertainty estimates.
Language:Jupyter NotebookMIT000
Language:Python000
Language:Jupyter Notebook000
harmony
Fast, sensitive and accurate integration of single-cell data with Harmony
Language:RNOASSERTION000
Language:R000
sctransform
R package for modeling single cell UMI expression data using regularized negative binomial regression
Language:RGPL-3.0000
seurat
R toolkit for single cell genomics
Language:RNOASSERTION000
Language:Shell000
Language:SCSSNOASSERTION000