nicococo / scRNALinks
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
Sorting:
- SemI-SUpervised generative Autoencoder models for single cell data☆19Updated 4 years ago
- The source code and results for different methods on annotating external testing datsets of human and mouse.☆12Updated 4 years ago
- Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis☆54Updated 2 months ago
- 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
- ☆16Updated 3 years ago
- Imputation of single cell sequencing data☆9Updated 4 years ago
- Novel joint clustering method with scRNA-seq and CITE-seq data☆10Updated 4 years ago
- Generative adversarial networks for single-cell RNA-seq imputation☆39Updated 5 years ago
- netNMF-sc: A network regularization algorithm for dimensionality reduction and imputation of single-cell expression data☆23Updated 4 years ago
- scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks☆11Updated 5 years ago
- SoptSC for single cell data analysis: unsupervised inference of clustering, cell lineage, pseudotime and cell-cell communication network …☆22Updated 4 years ago
- Reproducing all analyses and figures for the ASAP-seq paper☆29Updated 4 years ago
- Reproducing result from the paper☆34Updated 4 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
- ☆19Updated 4 years ago
- ☆45Updated 2 weeks ago
- ☆32Updated 3 months ago
- SAFE (Single-cell Aggregated clustering From Ensemble): Cluster ensemble for single-cell RNA-seq data☆18Updated 4 years ago
- Collaboration with Montine, Chang, and Montgomery labs on Alzheimers / Parkinson's ATAC-seq analysis☆46Updated 4 years ago
- ☆55Updated last year
- ☆21Updated last year
- Deep Embedding for Single-cell Clustering☆87Updated last year
- Single-cell RNA-seq clustering and annotation☆13Updated 4 years ago
- scLearn：Learning for single cell assignment☆35Updated 7 months ago
- Simultaneous deep generative modeling and clustering of single cell genomic data☆32Updated 2 years ago
- Single-cell exploratory data analysis for RNA-Seq☆40Updated 4 years ago
- Bootstrap imputation for scRNAseq data☆12Updated 5 years ago
- Conditional out-of-distribution prediction☆63Updated last year
- TIDE (Tumor Immune Dysfunction and Exclusion), a gene expression biomarker to predict the clinical response to immune checkpoint blockade…☆35Updated 2 years ago
- Gene Set Scoring on the Nearest Neighbor Graph (gssnng) for Single Cell RNA-seq (scRNA-seq) using AnnData h5ad files.☆12Updated 10 months ago