theislab / sc-pertLinks
Models and datasets for perturbational single-cell omics
☆167Updated 3 years ago
Alternatives and similar repositories for sc-pert
Users that are interested in sc-pert are comparing it to the libraries listed below
Sorting:
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆151Updated 8 months ago
- ☆86Updated last year
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆118Updated last year
- Accelerated, Python-only, single-cell integration benchmarking metrics☆77Updated this week
- Single-cell perturbation analysis☆212Updated last week
- ☆58Updated 3 months ago
- Sequence-based Modeling of single-cell ATAC-seq using Convolutional Neural Networks.☆98Updated 2 months ago
- ☆143Updated last year
- Transformer for One-Stop Interpretable Cell-type Annotation☆144Updated last year
- A unifying representation of single cell expression profiles that quantifies similarity between expression states and generalizes to repr…☆223Updated 4 months ago
- Additional code and analysis from the single-cell integration benchmarking project☆68Updated 2 years ago
- Compendium of available lists of ligand-receptor pairs and surface-secreted protein interactions.☆143Updated 2 years ago
- scDesign3 generates realistic in silico data for multimodal single-cell and spatial omics☆107Updated last month
- BEELINE: evaluation of algorithms for gene regulatory network inference☆197Updated last month
- ☆37Updated last week
- ☆85Updated 2 years ago
- 🏃 The go-to single-cell Foundation Model☆117Updated last week
- Realistic in silico generation and augmentation of single cell RNA-seq data using Generative Adversarial Neural Networks☆84Updated last year
- Single-cell ATAC-seq analysis via Latent feature Extraction☆103Updated 2 years ago
- Single-Cell (Perturbation) Model Library☆81Updated 2 months ago
- ☆101Updated 2 years ago
- Unsupervised Deep Disentangled Representation of Single-Cell Omics☆56Updated last week
- Formalizing and benchmarking open problems in single-cell genomics☆57Updated 5 months ago
- Comprehensive suite for evaluating perturbation prediction models☆100Updated last week
- ☆42Updated last week
- Modeling complex perturbations with CellFlow☆95Updated last week
- SIMBA: SIngle-cell eMBedding Along with features☆63Updated last year
- Discovering novel cell types across heterogenous single-cell experiments☆123Updated 2 years ago
- A simulator for single cell multi-omics and spatial omics data that provides ground truth to benchmark a wide range of methods.☆63Updated last week
- ☆56Updated last month