nicococo / scRNA
Python framework for single-cell RNA-seq clustering with special focus on transfer learning.
☆18Updated 5 years ago
Alternatives and similar repositories for scRNA:
Users that are interested in scRNA are comparing it to the libraries listed below
- The source code and results for different methods on annotating external testing datsets of human and mouse.☆12Updated 3 years ago
- A novel computational method for inferring cell-type-specific signaling networks using single-cell transcriptomics data for better charac…☆19Updated 3 years ago
- SoptSC for single cell data analysis: unsupervised inference of clustering, cell lineage, pseudotime and cell-cell communication network …☆21Updated 4 years ago
- Single-cell exploratory data analysis for RNA-Seq☆40Updated 3 years ago
- 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
- Single-cell RNA-seq clustering and annotation☆13Updated 4 years ago
- SAME (Single-cell RNA-seq Aggregated clustering via Mixture model Ensemble): Cluster ensemble for single-cell RNA-seq data☆15Updated 3 years ago
- Unsupervised cell functional annotation for single-cell RNA-Seq☆22Updated 2 years ago
- ☆54Updated last year
- Reproducing all analyses and figures for the ASAP-seq paper☆29Updated 3 years ago
- Collaboration with Montine, Chang, and Montgomery labs on Alzheimers / Parkinson's ATAC-seq analysis☆46Updated 4 years ago
- Novel joint clustering method with scRNA-seq and CITE-seq data☆9Updated 3 years ago
- ☆50Updated 4 years ago
- Python Implementation of SIMLR for single-cell visualization and analysis☆23Updated 2 years ago
- SAFE (Single-cell Aggregated clustering From Ensemble): Cluster ensemble for single-cell RNA-seq data☆17Updated 4 years ago
- ☆19Updated 3 years ago
- SpatialCorr: Identify gene sets with spatially varying correlation☆16Updated last year
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆24Updated last year
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆40Updated 2 years ago
- ☆45Updated 2 years ago
- Assembles a graph manifold from time series single-cell RNAseq data☆17Updated 3 years ago
- A novel computational method for inferring cell-type-specific signaling networks using single-cell transcriptomics data for better charac…☆41Updated 7 months ago
- ☆21Updated 10 months ago
- Semi-supervised adversarial neural networks for classification of single cell transcriptomics data☆74Updated 3 months ago
- A machine learning method for the discovery of the minimum marker gene combinations for cell type identification from single-cell RNA seq…☆61Updated 2 weeks ago
- Nonnegative spatial factorization for multivariate count data☆58Updated last year
- Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis☆54Updated 3 years ago
- Python 2.7 implementation of network-based stratification (NBS) algorithm from Hofree et al (Nature Methods 2013)☆37Updated 6 months ago
- netNMF-sc: A network regularization algorithm for dimensionality reduction and imputation of single-cell expression data☆22Updated 4 years ago
- Imputation method for scRNA-seq based on low-rank approximation☆74Updated last year