sunnsset / Benchmarking_single-cell_RNA_and_ATAC_data_integrationLinks
☆10Updated last year
Alternatives and similar repositories for Benchmarking_single-cell_RNA_and_ATAC_data_integration
Users that are interested in Benchmarking_single-cell_RNA_and_ATAC_data_integration are comparing it to the libraries listed below
Sorting:
- Reproducing result from the paper☆34Updated 4 years ago
- ☆21Updated last year
- ☆60Updated 2 years ago
- PENCIL is a novel tool for singlecell data analysis to identify phenotype associated subpopulations and informative genes simultaneously.☆28Updated last year
- Deep Transfer Learning of Drug Sensitivity by Integrating Bulk and Single-cell RNA-seq data☆55Updated last year
- ☆32Updated 5 months ago
- ☆17Updated last year
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆39Updated 3 years ago
- ☆21Updated last year
- Additional code and analysis from the single-cell integration benchmarking project☆67Updated 2 years ago
- ☆30Updated last month
- ☆44Updated last year
- scLearn:Learning for single cell assignment☆35Updated 9 months ago
- Enhancing spatial transcriptomics data by predicting the expression of unmeasured genes from a dissociated scRNA-seq data☆36Updated last year
- Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets☆33Updated 2 years ago
- Matilda is a multi-task framework for learning from single-cell multimodal omics data. Matilda leverages the information from the multi-m…☆21Updated 3 months ago
- PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).☆59Updated last month
- ☆53Updated 2 weeks ago
- An unsupervised approach for the integrative analysis of single-cell multi-omics data☆30Updated 4 years ago
- Deep learning model for single-cell inference of multi-omic profiles from a single input modality.☆43Updated 2 years ago
- Python package for analysis of multiomic single cell RNA-seq and ATAC-seq.☆64Updated 2 months ago
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆41Updated 3 years ago
- Python agent-based model tool for inference, visualization and analysis of cell-cell communication from single-cell data☆33Updated last month
- BERMUDA (Batch Effect ReMoval Using Deep Autoencoders) is a novel transfer-learning-based method for batch correction in scRNA-seq data.☆31Updated 5 years ago
- Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space☆79Updated 2 weeks ago
- Scalable sequence-informed embedding of single-cell ATAC-seq data with CellSpace☆41Updated 8 months ago
- ☆44Updated 3 years ago
- domain adaptation of spatial and single-cell transcriptome☆27Updated last year
- ☆114Updated 3 months ago
- SPROD: Spatial expression profiling de-noising☆37Updated 2 years ago