ArcInstitute / cell-loadLinks
pytorch dataloaders for single-cell perturbation data
☆26Updated this week
Alternatives and similar repositories for cell-load
Users that are interested in cell-load are comparing it to the libraries listed below
Sorting:
- Diffusion model for gene regulatory network inference.☆23Updated last month
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆53Updated 3 years ago
- Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.☆27Updated last month
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆46Updated 2 months ago
- ☆59Updated last year
- Comprehensive suite for evaluating perturbation prediction models☆77Updated 3 weeks ago
- repository containing analysis scripts and auxiliary files☆36Updated 5 years ago
- ☆37Updated 3 months ago
- ☆56Updated last year
- ☆49Updated last month
- Modeling complex perturbations with CellFlow☆83Updated last week
- ☆80Updated 2 weeks ago
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆109Updated last year
- scPRAM accurately predicts single-cell gene expression perturbation response based on attention mechanism☆15Updated 10 months ago
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆50Updated last month
- SIMBA: SIngle-cell eMBedding Along with features☆63Updated 10 months ago
- ☆82Updated last year
- ☆36Updated last week
- Unsupervised Deep Disentangled Representation of Single-Cell Omics☆48Updated last week
- Biological Network Integration using Convolutions☆62Updated last year
- ☆36Updated 3 weeks ago
- Discovering novel cell types across heterogenous single-cell experiments☆123Updated 2 years ago
- ☆33Updated 4 months ago
- scDiff: A General Single-Cell Analysis Framework via Conditional Diffusion Generative Models☆30Updated last year
- ☆29Updated 2 months ago
- scMODAL: A general deep learning framework for single-cell Multi-Omics Data Alignment with feature Links☆15Updated 3 months ago
- ☆11Updated 3 months ago
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆41Updated 3 years ago
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆145Updated 6 months ago
- Computational Optimization of DNA Activity (CODA)☆60Updated 5 months ago