bowang-lab / scFormerLinks
☆19Updated 2 years ago
Alternatives and similar repositories for scFormer
Users that are interested in scFormer are comparing it to the libraries listed below
Sorting:
- Biological Network Integration using Convolutions☆64Updated 2 years ago
- ☆66Updated 2 years ago
- Sequential Optimal Experimental Design of Perturbation Screens Guided by Multimodal Priors☆43Updated last year
- CellBox: Interpretable Machine Learning for Perturbation Biology☆56Updated 2 years ago
- Processed Cell Painting Data for the LINCS Drug Repurposing Project☆32Updated 3 years ago
- ☆79Updated last month
- Diffusion model for gene regulatory network inference.☆26Updated 2 weeks ago
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆53Updated 6 months ago
- ☆100Updated 3 months ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆52Updated 4 years ago
- Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.☆35Updated 6 months ago
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆134Updated last year
- repository containing analysis scripts and auxiliary files☆37Updated 5 years ago
- ☆74Updated 2 weeks ago
- ☆38Updated last month
- ☆30Updated 4 years ago
- A simulator for single-cell expression data guided by gene regulatory networks☆73Updated last year
- Modeling complex perturbations with CellFlow☆118Updated this week
- pytorch dataloaders for single-cell perturbation data☆42Updated this week
- scDiff: A General Single-Cell Analysis Framework via Conditional Diffusion Generative Models☆32Updated last year
- Learning Single-Cell Perturbation Responses using Neural Optimal Transport☆157Updated last year
- This Python package will allow you to replicate the experiments from our research on applying Optimal Transport as a similarity metric in…☆43Updated 3 years ago
- Comprehensive suite for evaluating perturbation prediction models☆122Updated 3 weeks ago
- Semi-supervised adversarial neural networks for classification of single cell transcriptomics data☆77Updated 2 weeks ago
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆143Updated last year
- federated learning with tabular learning☆26Updated 11 months ago
- 🏃 The go-to single-cell Foundation Model☆138Updated last month
- ☆90Updated last year
- Conditional out-of-distribution prediction☆62Updated last year
- Quantifying experimental perturbations at single cell resolution☆112Updated last year