M0hammadL's repositories
DeepPacket
a Deep learning toolbox for network traffic classification
Graph-Planner
A java based Implementation of "Graph-Plan" Algorithm
Batch-effect-removal-benchmarking
A benchmark of batch-effect correction methods for single-cell RNA sequencing 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.
Perturbseq_GI
Code for reproducing "Exploring genetic interaction manifolds constructed from rich single-cell phenotypes"
really-awesome-gan
A list of papers on Generative Adversarial (Neural) Networks
rst-cheatsheet
A two-page cheatsheet for restructured text
scanpy
Single-Cell Analysis in Python. Scales to very high cell numbers.
scGen
Single cell perturbation prediction - https://scgen.readthedocs.io
scGen_notebooks
This repository contains example noteboks for scGen
scVI
Deep generative modeling for single-cell transcriptomics