QijinYin

cellcall

inferring cell-cell communication from scRNA-seq of ligand-receptor

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.

DeepHistone

HCAChina-Doc

This is a hub holding documents of HCA-China Project. Keep these files carefully and do not share outside our team.

scGraph

zuoye

deepdrug

DeepDrug: A general graph-based deep learning framework for drug relation prediction

zuoye

QijinYin/DeepHistone

QijinYin/scGraph

QijinYin/HCAChina-Doc

This is a hub holding documents of HCA-China Project. Keep these files carefully and do not share outside our team.

QijinYin/cellcall

inferring cell-cell communication from scRNA-seq of ligand-receptor

QijinYin/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.

QijinYin/zuoye