RavenGan

GenePT

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.

NLP_project

SCIBER

What the Package Does (Title Case)

RavenGan.github.io

NIMMO

GR2D2

Take Monte Carlo samples from the posterior distribution based on the graphical R2D2 prior, to estimate the precision matrix for multivariate Gaussian data

Image-Classification-on-CIFAR-10

harmony

Scalable integration of single cell RNAseq data for batch correction and meta analysis