Pinned Repositories
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.
academic-kickstart
Batch-effect-removal-benchmarking
A benchmark of batch-effect correction methods for single-cell RNA sequencing data
bipy
DEPRECATED Lightweight bioinformatics pipeline tools using iPython
DeepPacket
a Deep learning toolbox for network traffic classification
Graph-Planner
A java based Implementation of "Graph-Plan" Algorithm
disent
Out-of-distribution prediction with disentangled representations for single-cell RNA sequencing data
scarches
Reference mapping for single-cell genomics
scgen
Single cell perturbation prediction
trVAE
Conditional out-of-distribution prediction
M0hammadL's Repositories
M0hammadL/DeepPacket
a Deep learning toolbox for network traffic classification
M0hammadL/Graph-Planner
A java based Implementation of "Graph-Plan" Algorithm
M0hammadL/academic-kickstart
M0hammadL/Batch-effect-removal-benchmarking
A benchmark of batch-effect correction methods for single-cell RNA sequencing data
M0hammadL/bipy
DEPRECATED Lightweight bioinformatics pipeline tools using iPython
M0hammadL/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.
M0hammadL/ganhacks
starter from "How to Train a GAN?" at NIPS2016
M0hammadL/lotfollahi.com
M0hammadL/M0hammadL.github.io
M0hammadL/Perturbseq_GI
Code for reproducing "Exploring genetic interaction manifolds constructed from rich single-cell phenotypes"
M0hammadL/really-awesome-gan
A list of papers on Generative Adversarial (Neural) Networks
M0hammadL/rst-cheatsheet
A two-page cheatsheet for restructured text
M0hammadL/scanpy
Single-Cell Analysis in Python. Scales to very high cell numbers.
M0hammadL/scGen
Single cell perturbation prediction - https://scgen.readthedocs.io
M0hammadL/scGen_notebooks
This repository contains example noteboks for scGen
M0hammadL/scVI
Deep generative modeling for single-cell transcriptomics