Highlights
- Pro
Stars
Reproducibility repository for the Human Neural Organoid Atlas publication
Unsupervised Deep Disentangled Representation of Single-Cell Omics
Rapids_singlecell: A GPU-accelerated tool for scRNA analysis. Offers seamless scverse compatibility for efficient single-cell data processing and analysis.
Data analysis for the moscot-framework project
Official Repository for "Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation" [ICLR 2024]
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Learning motif contributions to cell transitions using sequence features and graphs.
RNA Velocity generalized through dynamical modeling
Analysis notebooks using the moscot package
Implementation of Neural OT into moscot
Deep probabilistic analysis of single-cell and spatial omics data
Single-cell analysis in Python. Scales to >100M cells.
Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
CellRank: dynamics from multi-view single-cell data