kodaim1115 / scMMLinks
☆17Updated 4 years ago
Alternatives and similar repositories for scMM
Users that are interested in scMM are comparing it to the libraries listed below
Sorting:
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆52Updated 3 years ago
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆109Updated last year
- Single-cell biological network inference using a heterogeneous graph transformer☆73Updated 6 months ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆44Updated last month
- ☆85Updated 2 years ago
- ☆20Updated 10 months ago
- Models and datasets for perturbational single-cell omics☆161Updated 3 years ago
- Modeling complex perturbations with CellFlow☆82Updated this week
- Cell clustering for spatial transcriptomics data with graph neural network☆63Updated 2 years ago
- Deep learning model for single-cell inference of multi-omic profiles from a single input modality.☆43Updated 2 years ago
- Additional code and analysis from the single-cell integration benchmarking project☆66Updated 2 years ago
- ☆47Updated last month
- ☆29Updated 2 years ago
- Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information (ICLR 2023)☆19Updated 2 months ago
- Repository for Nicheformer: a foundation model for single-cell and spatial omics☆95Updated 5 months ago
- ☆81Updated last year
- A unified approach for integrating spatial and single-cell transcriptomics data by leveraging deep generative models☆69Updated last year
- Codes for paper: Evaluating the Utilities of Large Language Models in Single-cell Data Analysis.☆72Updated 2 months ago
- ☆28Updated 4 years ago
- SIMBA: SIngle-cell eMBedding Along with features☆63Updated 10 months ago
- CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis☆34Updated 2 years ago
- scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks☆149Updated last year
- ☆14Updated last month
- overview of spatial datasets☆75Updated last year
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆39Updated 3 years ago
- single cell foundation model for Gene network inference and more☆17Updated 2 months ago
- Learning Single-Cell Perturbation Responses using Neural Optimal Transport☆143Updated 9 months ago
- ☆127Updated last year
- Functional and Learnable Cell dynamicS☆17Updated 3 months ago
- spatial transcriptome, single cell☆69Updated 2 years ago