Pinned Repositories
remi
REMI R package for identifying ligand-receptor interactions
cellassign
Automated, probabilistic assignment of cell types in scRNA-seq data
christineyyeh.github.io
Christine Yiwen Yeh's Website
liger
R package for integrating and analyzing multiple single-cell datasets
HGSC_SpatialPerturbational
Repository for reproducing figures and tables for the study titled, "Mapping spatial organization and genetic cell state regulators to target immune evasion in ovarian cancer"
lung_tutorial
Step-by-step tutorial for single cell and spatial transcriptomics analysis for the Winter 2024 offering of IMMUNOL 206
onboarding
resources for computing onboarding for the Jerby Lab
remi
The REMI package is written in R and is designed to predict ligand receptor interactions within a microenvironment given RNA-sequencing data. It regularizes communities of ligand and receptors that have a high probability of being transcriptionally linked.
christineyyeh's Repositories
christineyyeh/cellassign
Automated, probabilistic assignment of cell types in scRNA-seq data
christineyyeh/christineyyeh.github.io
Christine Yiwen Yeh's Website
christineyyeh/liger
R package for integrating and analyzing multiple single-cell datasets