Pinned Repositories
GenePT
GR2D2
Take Monte Carlo samples from the posterior distribution based on the graphical R2D2 prior, to estimate the precision matrix for multivariate Gaussian data
harmony
Scalable integration of single cell RNAseq data for batch correction and meta analysis
Image-Classification-on-CIFAR-10
NIMMO
NLP_project
RavenGan.github.io
SCIBER
What the Package Does (Title Case)
SCIPAC
SCIPAC (Single- Cell and bulk data-based Identifier for Phenotype Associated Cells) is a computational method that identifies cells in single-cell data that are associated with a given phenotype. This phenotype can be binary (e.g., cancer vs. normal), ordinal (e.g., different stages of cancer), continuous (e.g., quantitative traits), or survival.
SCIPAC_simulation
This repository containing simulation code used in the paper Gan, D., Zhu, Y., Lu, X., & Li, J. (2024). SCIPAC: quantitative estimation of cell-phenotype associations. Genome Biology, 25(1), 119.
RavenGan's Repositories
RavenGan/SCIBER
What the Package Does (Title Case)
RavenGan/SCIPAC
SCIPAC (Single- Cell and bulk data-based Identifier for Phenotype Associated Cells) is a computational method that identifies cells in single-cell data that are associated with a given phenotype. This phenotype can be binary (e.g., cancer vs. normal), ordinal (e.g., different stages of cancer), continuous (e.g., quantitative traits), or survival.
RavenGan/GR2D2
Take Monte Carlo samples from the posterior distribution based on the graphical R2D2 prior, to estimate the precision matrix for multivariate Gaussian data
RavenGan/GenePT
RavenGan/harmony
Scalable integration of single cell RNAseq data for batch correction and meta analysis
RavenGan/Image-Classification-on-CIFAR-10
RavenGan/NIMMO
RavenGan/NLP_project
RavenGan/RavenGan.github.io
RavenGan/SCIPAC_simulation
This repository containing simulation code used in the paper Gan, D., Zhu, Y., Lu, X., & Li, J. (2024). SCIPAC: quantitative estimation of cell-phenotype associations. Genome Biology, 25(1), 119.