theislab
Theis Lab Joined Sept 2016 View on GitHub
- Stars
- 11,172
- across 268 public repos
- Rank
- #3,451
- of 94,827 organizations, top 4%
Repositories with 50+ stars
| Rank | Repository | Language | Stars |
|---|---|---|---|
| 42,782 | Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial" | Jupyter Notebook | 1,599 |
| 52,478 | https://www.sc-best-practices.org | Jupyter Notebook | 1,300 |
| 122,174 | RNA Velocity generalized through dynamical modeling | Python | 515 |
| 141,481 | Benchmarking analysis of data integration tools | Python | 436 |
| 148,113 | Reference mapping for single-cell genomics | Jupyter Notebook | 414 |
| 162,792 | Electronic Health Record Analysis with Python. | Python | 372 |
| 166,787 | Single cell perturbation prediction | Python | 362 |
| 174,921 | HTML | 343 | |
| 211,637 | Deep count autoencoder for denoising scRNA-seq data | Python | 275 |
| 229,426 | Mapping out the coarse-grained connectivity structures of complex manifolds. | Jupyter Notebook | 250 |
| 256,092 | Multi-omic single-cell optimal transport tools | Python | 219 |
| 266,118 | Conversion between scRNA-seq objects | R | 209 |
| 270,331 | A Bayesian model for compositional single-cell data analysis | Jupyter Notebook | 205 |
| 271,442 | Differential expression analysis for single-cell RNA-seq data. | Python | 204 |
| 275,963 | inferring regulatory cellular dynamics | Python | 200 |
| 293,109 | Models and datasets for perturbational single-cell omics | Jupyter Notebook | 186 |
| 299,845 | An R package to test for batch effects in high-dimensional single-cell RNA sequencing data. | HTML | 181 |
| 302,610 | Repository for Nicheformer: a foundation model for single-cell and spatial omics | Jupyter Notebook | 179 |
| 319,118 | Modeling complex perturbations with CellFlow | Python | 168 |
| 328,920 | Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022. | Jupyter Notebook | 162 |
| 335,736 | The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level. CPA performs OOD predictions of unseen combinations of... | Python | 158 |
| 342,852 | Convert between AnnData and SingleCellExperiment | Python | 154 |
| 377,298 | LLM-powered personalized daily lists of scientific papers | Python | 137 |
| 381,774 | data and model repository for single-cell data | Python | 135 |
| 416,688 | Learning cell communication from spatial graphs of cells | Python | 121 |
| 436,786 | R package for single cell and other data analysis using diffusion maps | R | 114 |
| 550,027 | Snakemake pipeline that works with the scIB package to benchmark data integration methods. | Python | 85 |
| 555,233 | Unsupervised Deep Disentangled Representation of Single-Cell Omics | Python | 84 |
| 600,843 | Additional code and analysis from the single-cell integration benchmarking project | Jupyter Notebook | 76 |
| 633,638 | Jupyter Notebook | 71 | |
| 687,767 | Jupyter Notebook | 64 | |
| 696,099 | Conditional out-of-distribution prediction | Python | 63 |
| 785,713 | Tutorials for the SCOG Virtual Workshop ‘Spatial transcriptomics data analysis in Python’ - May 23-24, 2022 | Jupyter Notebook | 54 |
| 797,173 | Reproducibility repository for the Human Neural Organoid Atlas publication | Jupyter Notebook | 53 |
| 821,506 | Python package for Probe set selection for targeted spatial transcriptomics. | Python | 51 |
Among 94,827 organizations
10k–16k stars: 1,461 organizations, including theislab
Stars along the bottom, and organizations in each band on a log scale
Where the stars are
Languages
- Jupyter Notebook 4.6k stars, 41% · 13 repos
- Python 3.7k stars, 33% · 18 repos
- HTML 524 stars, 5% · 2 repos
- R 323 stars, 3% · 2 repos
When they were made
35 repos with 50+ stars, made between 2016 and 2024
Quick stats
- Next rank
- +9 stars to reach #3,450
- Next milestone
- +23,822 stars to reach the top 1%
- Public repos
- 268, 35 with 50+ stars
- Popular repos
- 26 over 100 stars, 2 over 1k stars
- Top repo
- single-cell-tutorial, #42,782 of all repos, 14% of stars
- Smaller repos
- 1,973 stars from repos under 50