陈秭宜's repositories
biocode
Bioinformatics code libraries and scripts
Blood_Tumor_Code
All the code for the Blood/Tumor project.
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.
DNBelab_C_Series_HT_scRNA-analysis-software
An open source and flexible pipeline to analysis high-throughput DNBelab C Series single-cell RNA datasets
KrakenTools
KrakenTools provides individual scripts to analyze Kraken/Kraken2/Bracken/KrakenUniq output files
mtSC
A multitask deep metric learning-based framework for single cell assignment based on multiple references
multi-omic-urothelial-anti-pdl1
Contribution of systemic and somatic factors to clinical response and resistance in urothelial cancer: an exploratory multi-omic analysis
superfolder-covid-mrna-vaccines
SuperFolder COVID mRNA vaccines, stabilized for in vitro storage and shipping
TwoSampleMR
R package for performing 2-sample MR using MR-Base database