vandijklab /C2S-Scale
Single-cell transcriptome to language model
Cells · omics · Representation learning
★ 881 · Updated 11mo ago · Apache
- ★
- 335
- Updated
- 3mo ago
- Licence
- MIT
- Published
- 2019
- Language
- Jupyter Notebook
Summary
Single-cell trajectory inference
Input and output
Details
- Access
- Code link found
The paper or list names a code repository. The repository itself was not opened.
- Usage signal
- ★ 335 · Jupyter Notebook
Last commit 2026-07-15
- Published
- 2019
The year the source list gave; the exact date was not checked.
- Identifiers
- doi:10.1038/s41587-019-0068-4}
Same subject and task
More in Explore →vandijklab /Cell2Sentence
Cell2Sentence: Teaching Large Language Models the Language of Biology
Cells · omics · Representation learningI/O not stated
★ 881 · Updated 11mo ago · Apache
ArcInstitute /STATE
State is a machine learning model that predicts cellular perturbation response across diverse contexts
Cells · omics · Representation learningI/O not stated
★ 695 · Updated 3mo ago · Licence unknown
KrishnaswamyLab /PHATE
High-dimensional data visualization via diffusion
Cells · omics · Representation learning
★ 559 · Updated 7mo ago · Licence unknown
biomap-research /scFoundation
No description
Cells · omics · Representation learning
★ 430 · Updated 11mo ago · Apache
snap-stanford /UCE
Single-cell gene expression foundation model
Cells · omics · Representation learning
★ 339 · Updated 3mo ago · MIT