hui2000ji / scETM
A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
☆49Updated 3 years ago
Alternatives and similar repositories for scETM:
Users that are interested in scETM are comparing it to the libraries listed below
- Additional code and analysis from the single-cell integration benchmarking project☆57Updated 2 years ago
- SIMBA: SIngle-cell eMBedding Along with features☆58Updated 4 months ago
- repository containing analysis scripts and auxiliary files☆32Updated 4 years ago
- Deep learning model for single-cell inference of multi-omic profiles from a single input modality.☆39Updated last year
- ☆17Updated 3 years ago
- spatial transcriptome, single cell☆67Updated last year
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆37Updated 2 years ago
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆24Updated last year
- Models and datasets for perturbational single-cell omics☆148Updated 2 years ago
- ☆28Updated 3 years ago
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆94Updated 6 months ago
- covolutional neural network based coexpression analysis☆76Updated 4 years ago
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆112Updated last week
- ☆34Updated 6 months ago
- Discovering novel cell types across heterogenous single-cell experiments☆122Updated 2 years ago
- ☆29Updated this week
- ☆89Updated last month
- ☆72Updated 6 months ago
- Generative adversarial networks for single-cell RNA-seq imputation☆38Updated 4 years ago
- Simultaneous deep generative modeling and clustering of single cell genomic data☆30Updated 2 years ago
- Template repository for creating novel models with scvi-tools☆19Updated 2 years ago
- DIALOGUE is a dimensionality reduction method that uses cross-cell-type associations to identify multicellular programs (MCPs) and map th…☆109Updated last year
- ☆24Updated 4 years ago
- ☆45Updated 2 years ago
- Single-cell ATAC-seq analysis via Latent feature Extraction☆101Updated last year
- ☆99Updated last year
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆29Updated last week
- ☆37Updated 2 years ago
- ☆72Updated last year
- ACTIONet single-cell analysis framework☆38Updated 5 months ago