hui2000ji / scETMLinks
A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
☆50Updated 3 years ago
Alternatives and similar repositories for scETM
Users that are interested in scETM are comparing it to the libraries listed below
Sorting:
- SIMBA: SIngle-cell eMBedding Along with features☆61Updated 7 months ago
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆100Updated 9 months ago
- repository containing analysis scripts and auxiliary files☆34Updated 5 years ago
- Additional code and analysis from the single-cell integration benchmarking project☆65Updated 2 years ago
- spatial transcriptome, single cell☆68Updated 2 years ago
- ☆17Updated 3 years ago
- ☆45Updated 2 years ago
- ☆27Updated 4 years ago
- Deep learning model for single-cell inference of multi-omic profiles from a single input modality.☆42Updated last year
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆32Updated last month
- This repository implements Graph Variational Causal Inference (graphVCI), a framework that integrates prior knowledge of relational infor…☆18Updated 3 months ago
- ☆30Updated 2 years ago
- ☆44Updated 2 months ago
- ☆55Updated last year
- ☆36Updated this week
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆39Updated 2 years ago
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆23Updated 2 years ago
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆48Updated 4 months ago
- Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network☆103Updated last year
- ☆29Updated 3 years ago
- DIALOGUE is a dimensionality reduction method that uses cross-cell-type associations to identify multicellular programs (MCPs) and map th…☆110Updated last year
- ☆20Updated 7 months ago
- ☆30Updated last month
- ☆81Updated last year
- Discovering novel cell types across heterogenous single-cell experiments☆123Updated 2 years ago
- Semi-supervised adversarial neural networks for classification of single cell transcriptomics data☆75Updated 5 months ago
- Models and datasets for perturbational single-cell omics☆154Updated 2 years ago
- Template repository for creating novel models with scvi-tools☆20Updated 2 years ago
- Accelerated, Python-only, single-cell integration benchmarking metrics☆59Updated this week
- ☆26Updated last week