theislab / CFGenLinks
☆22Updated 2 months ago
Alternatives and similar repositories for CFGen
Users that are interested in CFGen are comparing it to the libraries listed below
Sorting:
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆138Updated 6 months ago
- Codes for paper: Evaluating the Utilities of Large Language Models in Single-cell Data Analysis.☆72Updated 2 months ago
- Modeling complex perturbations with CellFlow☆82Updated this week
- Single-Cell (Perturbation) Model Library☆66Updated 3 weeks ago
- Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.☆61Updated last year
- A model developed for the generation of scRNA-seq data☆68Updated 6 months ago
- Transformer for One-Stop Interpretable Cell-type Annotation☆144Updated last year
- single cell foundation model☆97Updated this week
- Repository for Nicheformer: a foundation model for single-cell and spatial omics☆95Updated 5 months ago
- Models and datasets for perturbational single-cell omics☆161Updated 3 years ago
- Accelerated, Python-only, single-cell integration benchmarking metrics☆67Updated last week
- ☆36Updated 3 months ago
- Single-cell perturbation effects prediction benchmark☆17Updated last month
- ☆70Updated 2 months ago
- scDesign3 generates realistic in silico data for multimodal single-cell and spatial omics☆103Updated 5 months ago
- ☆59Updated 11 months ago
- Code for evaluating single cell foundation models scBERT and scGPT☆46Updated last year
- ☆81Updated last year
- ☆133Updated last year
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆109Updated last year
- A simulator for single cell multi-omics and spatial omics data that provides ground truth to benchmark a wide range of methods.☆59Updated 7 months ago
- ☆50Updated last month
- PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).☆60Updated last week
- Computational Optimization of DNA Activity (CODA)☆60Updated 4 months ago
- Additional code and analysis from the single-cell integration benchmarking project☆66Updated 2 years ago
- Unsupervised Deep Disentangled Representation of Single-Cell Omics☆48Updated last week
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆44Updated last month
- A modular framework for multimodal cross-cell-type transcriptional regulation models☆86Updated 2 weeks ago
- Sequence-based Modeling of single-cell ATAC-seq using Convolutional Neural Networks.☆98Updated 7 months ago
- Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.☆27Updated 3 weeks ago