Pinned Repositories
html_feedback
Supports a student project developing a UI for feedback on arXiv articles rendered as html.
scGPT
DeepCellEss
An interpretable deep learning-based cell line-specific essential protein predictior
Auto_Attendancej
中南大学nCov健康打卡定时自动脚本 [请勿滥用]
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.
DeepCellEss
EP-EDL
lynn.github.io
scPerturb
scPerturb: A resource and a python/R tool for single-cell perturbation data
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.
lynn-1998's Repositories
lynn-1998/DeepCellEss
lynn-1998/EP-EDL
lynn-1998/Auto_Attendancej
中南大学nCov健康打卡定时自动脚本 [请勿滥用]
lynn-1998/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.
lynn-1998/lynn.github.io