daifengwanglab / CMOTLinks
Cross Modality Optimal Transport for multimodal inference
☆10Updated 11 months ago
Alternatives and similar repositories for CMOT
Users that are interested in CMOT are comparing it to the libraries listed below
Sorting:
- ☆56Updated last year
- Deep learning reveals predictive sequence concepts within immune repertoires to immunotherapy☆15Updated 3 years ago
- SpatialGlue is a novel deep learning methods for spatial multi-omics data integration.☆71Updated last year
- Dependency-aware deep generative models for multitasking analysis of spatial genomics data☆38Updated last year
- ☆50Updated 8 months ago
- ☆16Updated 2 weeks ago
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆26Updated 2 years ago
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆39Updated 3 years ago
- Learning meaningful representations of genes☆19Updated 4 months ago
- A versatile single-cell cross-modality translation method via dual-aligned variational autoencoders☆25Updated last year
- A Deep Learning-Based Model for the integration, cross-dataset cross-modality generation, self augmentation and matched multi-omics simul…☆15Updated 3 months ago
- ☆12Updated 2 years ago
- domain adaptation of spatial and single-cell transcriptome☆28Updated last year
- ☆19Updated 3 years ago
- resVAE is a restricted latent variational autoencoder that we wrote to uncover hidden structures in gene expression data, especially usin…☆12Updated 2 years ago
- a unified single-cell data integration framework by optimal transport☆34Updated last year
- Hypergraph Factorisation☆26Updated 11 months ago
- ☆58Updated 3 months ago
- scDCC: Single Cell Deep Constrained Clustering☆41Updated last year
- ☆54Updated 11 months ago
- SIMBA: SIngle-cell eMBedding Along with features☆19Updated last year
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 4 years ago
- Pytorch implementation of scDeepCluster for Single Cell RNA-seq data☆34Updated last year
- Deep learning-based tissue compositions and cell-type-specific gene expression analysis with tissue-adaptive autoencoder (TAPE)☆56Updated last year
- ☆40Updated 2 years ago
- ☆30Updated 2 years ago
- ☆13Updated 2 years ago
- Single Cell Multi-omics deep clustering☆28Updated 4 months ago
- Matilda is a multi-task framework for learning from single-cell multimodal omics data. Matilda leverages the information from the multi-m…☆22Updated 5 months ago
- Code for the benchmarking single-cell foundation models (scGPT, scBERT, and Geneformer) for cell-type annotation task using skewed single…☆15Updated 11 months ago