Shyaman Jayasundara's repositories
CAR-T-cell-phenotype-decoder
The LSTM model in Daniels, Kyle G., et al. "Decoding CAR T cell phenotype using combinatorial signaling motif libraries and machine learning." is replaced with a bi-directional LSTM
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.
people.ce.pdn.ac.lk
Student and staff profile pages website of the Department of Computer Engineering, University of Peradeniya https://people.ce.pdn.ac.lk/
R-scGNN
Rethinking-scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks
ratemyprof
A webapp for rating your professors. Just populate the DB and you're good to go.
shyaman.me
My portfolio site
single_cell_obj_conversions
This contains scripts for conversion between different single cell data object types
Text-Analyzer
It analyze any number of files and graph the frequencies
tybalt
Training and evaluating a variational autoencoder for pan-cancer gene expression data