wenwenmin / SpaViTLinks
A self-supervised learning method with Vision Transformer as backbone network for resolution enhancement in spatial transcriptomics.
☆10Updated last month
Alternatives and similar repositories for SpaViT
Users that are interested in SpaViT are comparing it to the libraries listed below
Sorting:
- [PLoS Computational Biology 2025] Domain-Adversarial Masked Autoencoder (SpaDAMA) for cell type deconvolution in spatial transcriptomics …☆10Updated 3 months ago
- Large Language Models for Spatial Transcriptomics Analysis☆11Updated 10 months ago
- VTrans: A VAE-based Pre-trained Transformer Method for Microbiome Data Analysis☆10Updated 11 months ago
- Masked adversarial neural network for cell type deconvolution (MACD) in spatial transcriptomics data☆16Updated 3 months ago
- Globally Convergent Accelerated Block Proximal Method with Adaptive Momentum for Nonconvex Optimization☆10Updated 10 months ago
- [PLoS Computational Biology 2025] SpaMask: Dual Masking Graph Autoencoder with Contrastive Learning for Spatial Transcriptomics☆11Updated 6 months ago
- Pretrained-Guided Masked Conditional Diffusion Models for Microbiome Data Analysis☆14Updated last year
- Deep Clustering Representation for Spatially Resolved Transcriptomics Data via Multi-view Variational Graph Auto-Encoders with Consensus …☆14Updated 3 months ago
- scASDC is an attention enhanced structural deep clustering method for scRNA-seq cell clustering☆17Updated last year
- We propose SpatialCVGAE, which uses multiple variational graph autoencoders with different initializations to simultaneously generate cor…☆13Updated 3 months ago
- ☆16Updated last year
- [Briefings in Bioinformatics 2025] A GCN and pathology image large model-based method to predict single-cell resolution spatial gene expr…☆25Updated 6 months ago
- High-Resolution Spatial Transcriptomics Using Histology Images with HisToSGE (Pathology Image Large Model, Transformers)☆19Updated last year
- We propose STG3Net, a novel method designed to integrate multiple SRT datasets and correct batch effects.☆13Updated last year
- [Advanced Science 2025] SpaBatch: Deep learning-based cross-slice integration and 3D spatial domain identification in spatial transcripto…☆13Updated 3 weeks ago
- Masked Graph Autoencoders with Contrastive Augmentation for Spatially Resolved Transcriptomics Data☆17Updated last year
- SpaDiT: Diffusion Transformer for Spatial Gene Expression Prediction using scRNA-seq☆22Updated 10 months ago
- Identify spatial domain☆83Updated 4 months ago
- Her2 Breast Cancer Project☆87Updated 2 years ago
- ☆39Updated last year
- mclSTExp: Multimodal Contrastive Learning for Spatial Gene Expression Prediction Using Histology Images☆40Updated 9 months ago
- ☆62Updated 11 months ago
- ☆41Updated last year
- ☆142Updated 9 months ago
- Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics☆76Updated 3 years ago
- SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph con…☆240Updated 2 years ago
- ☆13Updated last year
- ☆44Updated 6 months ago
- conST: an interpretable multi-modal contrastive learning framework for spatial transcriptomics☆28Updated last year
- ☆134Updated last year