Pinned Repositories
vaxpol
Exploration of COVID19 Vaccination Data on the basis of Presidential Election Results
AlignPip-crossBBR
RNA-seq alignment pipeline for SRA data from formatted sampleTable
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.
CS306-HADMDB
Hospital Admission Database - CS 306 - Database Systems - Term Project
pure-materials-ppobec
Includes materials, results & tools used in PURE 2021 Protein Profile of Brain Endothelial Cells project.
Sorts-Hash
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.
CATD_snakemake
Snakemake pipeline for benchmarking cell-type deconvolution methods and deconvolving real bulk RNA-seq data with the use of scRNA-seq datasets
CS308-202201-Team06-FMS
Financial Management System - Team 06
zgr2788's Repositories
zgr2788/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.
zgr2788/CS306-HADMDB
Hospital Admission Database - CS 306 - Database Systems - Term Project
zgr2788/AlignPip-crossBBR
RNA-seq alignment pipeline for SRA data from formatted sampleTable
zgr2788/Sorts-Hash
zgr2788/vaxpol
Exploration of COVID19 Vaccination Data on the basis of Presidential Election Results
zgr2788/pure-materials-ppobec
Includes materials, results & tools used in PURE 2021 Protein Profile of Brain Endothelial Cells project.