Bertinus / FLeCSLinks
Functional and Learnable Cell dynamicS
☆21Updated 8 months ago
Alternatives and similar repositories for FLeCS
Users that are interested in FLeCS are comparing it to the libraries listed below
Sorting:
- ☆66Updated 2 years ago
- spatial transcriptome, single cell☆73Updated 2 years ago
- A simulator for single-cell expression data guided by gene regulatory networks☆73Updated last year
- ☆90Updated last year
- ☆36Updated 9 months ago
- Deep learning model for single-cell inference of multi-omic profiles from a single input modality.☆46Updated 2 years ago
- code to run EPInformer for gene expression prediction and gene-enhancer link prediction☆44Updated 2 weeks ago
- Quantifying experimental perturbations at single cell resolution☆112Updated last year
- Template repository for creating novel models with scvi-tools☆20Updated 3 years ago
- Models and datasets for perturbational single-cell omics☆171Updated 3 years ago
- Conditional out-of-distribution prediction☆62Updated last year
- ACTIONet single-cell analysis framework☆44Updated last year
- Semi-supervised adversarial neural networks for classification of single cell transcriptomics data☆77Updated 2 weeks ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆52Updated 4 years ago
- ☆47Updated 6 months ago
- single cell foundation model for Gene network inference and more☆19Updated 2 months ago
- ☆90Updated 2 years ago
- a dataloader to work with large single cell datasets from lamindb☆34Updated this week
- ☆52Updated 10 months ago
- ☆33Updated 5 years ago
- SIMBA: SIngle-cell eMBedding Along with features☆66Updated last year
- Spatial reconstruction of dissociated single-cell data☆19Updated 2 years ago
- Codebase for PRESCIENT (Potential eneRgy undErlying Single Cell gradIENTs) for generative modeling of single-cell time-series.☆52Updated last year
- Python implementation of the Slingshot pseudotime algorithm☆69Updated 3 months ago
- ☆15Updated 3 years ago
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆134Updated last year
- Gene regulatory network inference for RNA velocity and pseudotime data☆28Updated 3 months ago
- ☆74Updated last week
- Unsupervised Deep Disentangled Representation of Single-Cell Omics☆59Updated this week
- Additional code and analysis from the single-cell integration benchmarking project☆71Updated 3 years ago