wenwenmin / SpatialCVGAELinks
We propose SpatialCVGAE, which uses multiple variational graph autoencoders with different initializations to simultaneously generate corresponding low-dimensional embeddings, and then utilizes consensus clustering.
☆13Updated 2 months ago
Alternatives and similar repositories for SpatialCVGAE
Users that are interested in SpatialCVGAE are comparing it to the libraries listed below
Sorting:
- Large Language Models for Spatial Transcriptomics Analysis☆11Updated 8 months ago
- SpaMask: Dual Masking Graph Autoencoder with Contrastive Learning for Spatial Transcriptomics☆10Updated 4 months ago
- VTrans: A VAE-based Pre-trained Transformer Method for Microbiome Data Analysis☆10Updated 9 months ago
- Domain-Adversarial Masked Autoencoder (SpaDAMA) for cell type deconvolution in spatial transcriptomics data☆10Updated last month
- A self-supervised learning method with Vision Transformer as backbone network for resolution enhancement in spatial transcriptomics.☆10Updated 9 months ago
- Masked adversarial neural network for cell type deconvolution (MACD) in spatial transcriptomics data☆16Updated 2 months ago
- High-Resolution Spatial Transcriptomics Using Histology Images with HisToSGE (Pathology Image Large Model, Transformers)☆19Updated last year
- ☆16Updated last year
- A GCN and pathology image large model-based method to predict single-cell resolution spatial gene expression by integrating multimodal in…☆25Updated 5 months ago
- Pretrained-Guided Masked Conditional Diffusion Models for Microbiome Data Analysis☆14Updated last year
- We propose STG3Net, a novel method designed to integrate multiple SRT datasets and correct batch effects.☆13Updated last year
- Masked Graph Autoencoders with Contrastive Augmentation for Spatially Resolved Transcriptomics Data☆17Updated last year
- Her2 Breast Cancer Project☆84Updated 2 years ago
- Globally Convergent Accelerated Block Proximal Method with Adaptive Momentum for Nonconvex Optimization☆10Updated 8 months ago
- Deep Clustering Representation for Spatially Resolved Transcriptomics Data via Multi-view Variational Graph Auto-Encoders with Consensus …☆13Updated 2 months ago
- ☆140Updated 8 months ago
- Code for ST_IGI package☆30Updated last month
- scASDC is an attention enhanced structural deep clustering method for scRNA-seq cell clustering☆17Updated last year
- ☆93Updated 2 months ago
- ☆42Updated 4 months ago
- Deep learning on histopathology images.☆127Updated 3 years ago
- ☆45Updated 3 years ago
- ☆39Updated last year
- Spatially Resolved Gene Expression Prediction from H&E Histology Images via Bi-modal Contrastive Learning☆81Updated 10 months ago
- ☆14Updated last month
- PyTorch implementation of HisToGene☆42Updated 3 years ago
- Super-resolved spatial transcriptomics by deep data fusion☆74Updated 2 years ago
- Identify spatial domain☆79Updated 2 months ago
- SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph con…☆232Updated last year
- SpaDiT: Diffusion Transformer for Spatial Gene Expression Prediction using scRNA-seq☆21Updated 9 months ago