wang-research / VASC
Variational autoencoder for single cell RNA-seq datasets
☆44Updated 7 years ago
Alternatives and similar repositories for VASC:
Users that are interested in VASC are comparing it to the libraries listed below
- ☆49Updated 5 years ago
- Deep learning for single-cell transcript counts☆84Updated 4 years ago
- Reproducing the experiments of the paper "Deep generative modeling for single-cell transcriptomics"☆56Updated 6 years ago
- ☆55Updated 4 years ago
- ☆28Updated last year
- This contains the dataset for comparing scRNA-seq analysis methods☆90Updated 4 years ago
- Deep Embedding for Single-cell Clustering☆86Updated 9 months ago
- Single-cell RNA-seq Gene Expression Recovery☆109Updated last month
- ☆98Updated last year
- Single-cell Hierarchical Poisson Factorization☆67Updated 2 years ago
- ☆98Updated 3 months ago
- ☆64Updated last year
- ☆28Updated 4 years ago
- Wasserstein Generative Adversarial Network for analysing scRNAseq data☆34Updated 4 years ago
- Code for the MNN manuscript figures☆51Updated 6 years ago
- cisTopic: Probabilistic modelling of cis-regulatory topics from single cell epigenomics data☆135Updated 9 months ago
- Representation Learning for detection of phenotype-associated cell subsets☆65Updated 4 years ago
- ☆84Updated 4 years ago
- Zero-inflated dimensionality reduction algorithm for single-cell data☆108Updated 4 years ago
- ☆21Updated 6 years ago
- R Codebase for BISCUIT: Infinite Mixture Model to cluster and impute single cells.☆65Updated 6 years ago
- K-nearest neighbor smoothing for high-throughput single-cell RNA-Seq data☆53Updated 2 years ago
- ☆50Updated last year
- Implementations in both Matlab and R of the SIMLR method. The manuscript of the method is available at: https://www.nature.com/articles/n…☆110Updated 2 months ago
- Accurate and robust imputation of scRNA-seq data☆94Updated 5 years ago
- Dynamic models for single-cell RNA-seq time series.☆39Updated 6 years ago
- A collection of scripts and tools for loading, processing, and handling single cell data.☆72Updated last year
- scLVM is a modelling framework for single-cell RNA-seq data that can be used to dissect the observed heterogeneity into different sources…☆104Updated 2 years ago
- Similarity Weighted Nonnegative Embedding (SWNE), a method for visualizing high dimensional datasets☆105Updated last year