Murali-group / BeelineLinks
BEELINE: evaluation of algorithms for gene regulatory network inference
☆197Updated last month
Alternatives and similar repositories for Beeline
Users that are interested in Beeline are comparing it to the libraries listed below
Sorting:
- Models and datasets for perturbational single-cell omics☆167Updated 3 years ago
- ☆85Updated 2 years ago
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆151Updated 8 months ago
- Single-cell perturbation analysis☆212Updated last week
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆118Updated last year
- A simulator for single-cell expression data guided by gene regulatory networks☆69Updated last year
- Compendium of available lists of ligand-receptor pairs and surface-secreted protein interactions.☆143Updated 2 years ago
- Additional code and analysis from the single-cell integration benchmarking project☆68Updated 2 years ago
- Mapping out the coarse-grained connectivity structures of complex manifolds.☆231Updated 5 years ago
- A unifying representation of single cell expression profiles that quantifies similarity between expression states and generalizes to repr…☆223Updated 4 months ago
- Single-Cell (Perturbation) Model Library☆81Updated 2 months ago
- ☆143Updated last year
- 🎼 Integrate multiple high-dimensional datasets with fuzzy k-means and locally linear adjustments.☆241Updated last year
- Transformer for One-Stop Interpretable Cell-type Annotation☆144Updated last year
- Batch balanced KNN☆174Updated 2 years ago
- Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network☆106Updated 2 years ago
- ☆101Updated 2 years ago
- Single cell perturbation prediction☆323Updated 11 months ago
- Discovering novel cell types across heterogenous single-cell experiments☆123Updated 2 years ago
- ☆30Updated 5 years ago
- Multi-omic single-cell optimal transport tools☆177Updated this week
- Supervised Pathway DEConvolution of InTerpretable Gene ProgRAms☆178Updated last year
- Benchmarking analysis of data integration tools☆392Updated last month
- 🏃 The go-to single-cell Foundation Model☆117Updated last week
- Single-cell biological network inference using a heterogeneous graph transformer☆76Updated 8 months ago
- ☆86Updated last year
- GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations☆309Updated 9 months ago
- ☆58Updated 3 months ago
- scDesign3 generates realistic in silico data for multimodal single-cell and spatial omics☆107Updated last month
- Learning Single-Cell Perturbation Responses using Neural Optimal Transport☆150Updated last year