kakarotcq / Con-AAE
☆11Updated 2 years ago
Alternatives and similar repositories for Con-AAE:
Users that are interested in Con-AAE are comparing it to the libraries listed below
- Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets☆30Updated last year
- ☆43Updated last month
- ☆21Updated 8 months ago
- Enhancing spatial transcriptomics data by predicting the expression of unmeasured genes from a dissociated scRNA-seq data☆34Updated 9 months ago
- A Deep Learning-Based Model for the integration, cross-dataset cross-modality generation, self augmentation and matched multi-omics simul…☆15Updated 2 months ago
- ☆21Updated 10 months ago
- PAST: a Prior-based self-Attention method for Spatial Transcriptomics☆12Updated last month
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆38Updated 2 years ago
- Multi-omics data analysis for rare population inference using single-cell graph transformer☆19Updated 5 months ago
- Single Cell Multi-omics deep clustering☆27Updated last year
- domain adaptation of spatial and single-cell transcriptome☆26Updated 7 months ago
- STAligner is a tool for alignment and integration of spatially resolved transcriptomics data.☆39Updated last year
- Supervised cell type identification for scATAC-seq data☆13Updated last year
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆40Updated 2 years ago
- ☆38Updated 2 years ago
- ☆29Updated 2 years ago
- Cell clustering for spatial transcriptomics data with graph neural network☆61Updated 2 years ago
- ☆59Updated last year
- Identify spatial domain☆72Updated last year
- Deciphering driver regulators of cell fate decisions from single-cell RNA-seq data☆23Updated 6 months ago
- ☆54Updated last year
- Additional code and analysis from the single-cell integration benchmarking project☆60Updated 2 years ago
- overview of spatial datasets☆74Updated last year
- Matilda is a multi-task framework for learning from single-cell multimodal omics data. Matilda leverages the information from the multi-m…☆20Updated 4 months ago
- ☆17Updated 2 years ago
- a unified single-cell data integration framework by optimal transport☆35Updated 6 months ago
- Pytorch implementation of scDeepCluster for Single Cell RNA-seq data☆32Updated 9 months ago
- ☆29Updated 2 weeks ago
- SpatialGlue is a novel deep learning methods for spatial multi-omics data integration.☆57Updated 10 months ago
- Deep Transfer Learning of Drug Sensitivity by Integrating Bulk and Single-cell RNA-seq data☆54Updated 9 months ago