mvinyard / torch-adataLinks
Create PyTorch Datasets from AnnData
☆21Updated 6 months ago
Alternatives and similar repositories for torch-adata
Users that are interested in torch-adata are comparing it to the libraries listed below
Sorting:
- Regulatory networks with Direct Information in python☆40Updated 2 years ago
- Learning motif contributions to cell transitions using sequence features and graphs.☆28Updated last year
- Companion repository to Lause, Berens & Kobak (2021): "Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data", Gen…☆40Updated 3 years ago
- An interface for Nested Stochastic Block Model for single cell analysis☆36Updated 2 months ago
- ☆22Updated 3 years ago
- A python implementation of scran computeSumFactors: normalization by deconvolution for single-cell RNA-sequencing☆35Updated last year
- a scalable python suite for tree inference and advanced pseudotime analysis from scRNAseq data.☆60Updated last month
- Netbooks is a JupyterHub catalog of use cases in gene regulatory network inference using netZoo methods..☆44Updated last month
- ☆59Updated last year
- Dynamical systems methods for RNA velocity analysis☆24Updated 4 years ago
- Multi-modal single cell analysis pipelines☆58Updated last week
- ☆28Updated 11 months ago
- Codebase for PRESCIENT (Potential eneRgy undErlying Single Cell gradIENTs) for generative modeling of single-cell time-series.☆49Updated 7 months ago
- MultiMAP for integration of single cell multi-omics☆56Updated last year
- Code and example of the D-SPIN framework☆24Updated last month
- a dataloader to work with large single cell datasets from lamindb☆29Updated last week
- A Python implementation of the LEMUR algorithm for analyzing multi-condition single-cell RNA-seq data.☆26Updated 8 months ago
- scRNAseq integration with triplet neural networks☆41Updated 2 years ago
- Quasilinear data representations for single-cell omics data analysis☆42Updated 2 years ago
- Fit generalized linear models in python.☆28Updated 2 years ago
- Code and documentation for the curation of cellxgene datasets☆49Updated last week
- spatial transcriptome, single cell☆69Updated 2 years ago
- Quantifying experimental perturbations at single cell resolution☆109Updated 11 months ago
- astir | Automated cell identity from single-cell multiplexed imaging and proteomics 🖥🔬✨☆55Updated 2 months ago
- ☆26Updated 3 months ago
- scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics☆54Updated last year
- ☆26Updated 5 years ago
- Multimodal weakly supervised learning to identify disease-specific changes in single-cell atlases☆33Updated last month
- Single-cell multi-omics integration using Optimal Transport☆46Updated last month
- Multi-omics factor analysis v2☆50Updated 10 months ago