AprilYuge / ResPANLinks
a light structured Residual autoencoder and mutual nearest neighbor Paring guided Adversarial Network for scRNA-seq batch correction
☆15Updated 2 years ago
Alternatives and similar repositories for ResPAN
Users that are interested in ResPAN are comparing it to the libraries listed below
Sorting:
- Learning motif contributions to cell transitions using sequence features and graphs.☆28Updated last year
- Regulatory networks with Direct Information in python☆40Updated 2 years ago
- MOJITOO: a fast and universal method for integration of multimodal single cell data☆11Updated last year
- R package for transfer learning of single-cell RNA-seq denoising☆30Updated 3 years ago
- ☆28Updated 2 years ago
- ☆60Updated last year
- scRNAseq integration with triplet neural networks☆41Updated 3 years ago
- ☆61Updated last year
- benchmark for single-cell RNA-seq imputation methods☆29Updated last year
- ☆30Updated 6 months ago
- Learning meaningful representations of genes☆20Updated 6 months ago
- Code and example of the D-SPIN framework☆24Updated last month
- Netbooks is a JupyterHub catalog of use cases in gene regulatory network inference using netZoo methods..☆45Updated 2 months ago
- Unsupervised cell functional annotation for single-cell RNA-Seq☆22Updated 2 years ago
- Single Cell Consensus Clustering with Speed☆20Updated 3 years ago
- A single-cell and spatial RNA-seq database for Alzheimer’s Disease☆26Updated last year
- ☆19Updated 4 years ago
- ☆26Updated 7 months ago
- Code for reproducing "Exploring genetic interaction manifolds constructed from rich single-cell phenotypes"☆65Updated 5 years ago
- Quasilinear data representations for single-cell omics data analysis☆43Updated 2 years ago
- A R/MATLAB package to construct and compare gene regulatory networks from single-cell transcriptomic data☆27Updated last year
- ☆15Updated 2 years ago
- Methods to use SNPs or gene expression to classify single cell RNAseq to reference profiles☆30Updated 5 years ago
- An R package for single-cell CRISPR screen data analysis emphasizing statistical rigor, massive scalability, and ease of use.☆35Updated 4 months ago
- Matilda is a multi-task framework for learning from single-cell multimodal omics data. Matilda leverages the information from the multi-m…☆22Updated 7 months ago
- Dynamical systems methods for RNA velocity analysis☆24Updated 4 years ago
- Fast motif matching in R☆46Updated last year
- CiteFuse:☆28Updated 2 years ago
- scPRAM accurately predicts single-cell gene expression perturbation response based on attention mechanism☆18Updated last year
- Multi-modal single cell analysis pipelines☆62Updated 3 weeks ago