txWang / BERMUDA
BERMUDA (Batch Effect ReMoval Using Deep Autoencoders) is a novel transfer-learning-based method for batch correction in scRNA-seq data.
☆30Updated 5 years ago
Alternatives and similar repositories for BERMUDA:
Users that are interested in BERMUDA are comparing it to the libraries listed below
- Imputation method for scRNA-seq based on low-rank approximation☆74Updated last year
- ☆10Updated last year
- ☆16Updated 3 years ago
- ☆45Updated 2 years ago
- ☆28Updated 5 years ago
- An unsupervised approach for the integrative analysis of single-cell multi-omics data☆29Updated 4 years ago
- scLearn:Learning for single cell assignment☆35Updated 3 months ago
- Code for further development of the mutual nearest neighbours batch correction method, as implemented in the batchelor package.☆22Updated 5 years ago
- ☆21Updated 9 months ago
- Code for Universal Single-Cell Matching with Unpaired Feature Sets☆21Updated 3 years ago
- A study to compare methods for clustering of scRNA-seq data☆42Updated 8 months ago
- cTPnet Package☆24Updated 2 years ago
- Novel joint clustering method with scRNA-seq and CITE-seq data☆9Updated 3 years ago
- Code for the MNN manuscript figures☆51Updated 6 years ago
- netNMF-sc: A network regularization algorithm for dimensionality reduction and imputation of single-cell expression data☆22Updated 3 years ago
- ☆25Updated 3 years ago
- Matilda is a multi-task framework for learning from single-cell multimodal omics data. Matilda leverages the information from the multi-m…☆20Updated 3 months ago
- ☆14Updated 2 years ago
- Simultaneous deep generative modeling and clustering of single cell genomic data☆32Updated 2 years ago
- Semi-supervised adversarial neural networks for classification of single cell transcriptomics data☆74Updated 2 months ago
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆38Updated 2 years ago
- Enhancing spatial transcriptomics data by predicting the expression of unmeasured genes from a dissociated scRNA-seq data☆33Updated 8 months ago
- R package for transfer learning of single-cell RNA-seq denoising☆29Updated 2 years ago
- PRObabilistic Simulations of ScRNA-seq Tree-like Topologies☆26Updated last year
- Scripts for data and figure generation in SAVER paper☆17Updated 4 years ago
- Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets☆30Updated last year
- EDGE☆15Updated 4 years ago
- ☆57Updated last year
- SoptSC for single cell data analysis: unsupervised inference of clustering, cell lineage, pseudotime and cell-cell communication network …☆21Updated 4 years ago
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆41Updated 2 years ago