txWang / BERMUDALinks
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
Alternatives and similar repositories for BERMUDA
Users that are interested in BERMUDA are comparing it to the libraries listed below
Sorting:
- scLearn：Learning for single cell assignment☆35Updated last year
- Deep Embedding for Single-cell Clustering☆88Updated last year
- ☆45Updated 4 months ago
- Imputation method for scRNA-seq based on low-rank approximation☆77Updated last year
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆39Updated 3 years ago
- ☆12Updated 2 years ago
- Python package for analysis of multiomic single cell RNA-seq and ATAC-seq.☆66Updated 5 months ago
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆41Updated 3 years ago
- SoptSC for single cell data analysis: unsupervised inference of clustering, cell lineage, pseudotime and cell-cell communication network …☆22Updated 5 years ago
- ☆61Updated 2 years ago
- Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis☆54Updated 6 months ago
- MAGIC - imputation and de-noising single-cell RNA seq data sets☆27Updated 6 years ago
- This contains the dataset for comparing scRNA-seq analysis methods☆92Updated 5 years ago
- R package for transfer learning of single-cell RNA-seq denoising☆30Updated 3 years ago
- An unsupervised approach for the integrative analysis of single-cell multi-omics data☆31Updated 5 years ago
- ☆34Updated 7 months ago
- Deep Learning based cell composition analysis with Scaden.☆85Updated last year
- ☆27Updated 4 years ago
- Semi-supervised adversarial neural networks for classification of single cell transcriptomics data☆76Updated 11 months ago
- ☆101Updated 2 years ago
- Quasilinear data representations for single-cell omics data analysis☆44Updated 2 years ago
- Digital Cell Sorter (DCS): single cell RNA-seq analysis toolkit. Documentation:☆24Updated 4 years ago
- ☆28Updated 5 years ago
- Code for Universal Single-Cell Matching with Unpaired Feature Sets☆21Updated 4 years ago
- Reproducing result from the paper☆34Updated 4 years ago
- Simultaneous deep generative modeling and clustering of single cell genomic data☆32Updated 3 years ago
- Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space☆79Updated 3 months ago
- Robustness and applicability of transcription factor and pathway analysis tools on single-cell RNA-seq data☆27Updated 5 years ago
- scMEGA: Single-cell Multiomic Enhancer-based Gene regulAtory network inference☆42Updated last year
- ☆21Updated last year