Zhaocy-Research / TransformerST
A Transformer Model Exploiting Histology Images and Spatial Gene Expression
☆14Updated 10 months ago
Alternatives and similar repositories for TransformerST:
Users that are interested in TransformerST are comparing it to the libraries listed below
- domain adaptation of spatial and single-cell transcriptome☆25Updated 5 months ago
- SpatialGlue is a novel deep learning methods for spatial multi-omics data integration.☆48Updated 7 months ago
- ☆35Updated 2 years ago
- Identify spatial domain☆65Updated last year
- Sub-cellular spatial transcriptomics Cell Segmentation☆60Updated last year
- STAligner is a tool for alignment and integration of spatially resolved transcriptomics data.☆35Updated 10 months ago
- Her2 Breast Cancer Project☆63Updated 2 years ago
- ☆114Updated 2 months ago
- Code for ST_IGI package☆18Updated 3 months ago
- ☆37Updated last year
- an SRT simulator for simulating multiple spatial variability in spatial resolved transcriptomics and generating unbiased simulated SRT da…☆20Updated 8 months ago
- An offical repo for paper "Single-cells are Spatial Tokens: Transformers for Spatially Resolved Transcriptomics Data Imputation"☆16Updated last year
- ☆25Updated last year
- Enhancing spatial transcriptomics data by predicting the expression of unmeasured genes from a dissociated scRNA-seq data☆33Updated 7 months ago
- MUSE is a deep learning approach characterizing tissue composition through combined analysis of morphologies and transcriptional states f…☆34Updated 2 years ago
- STAligner: Integrating spatial transcriptomics data across different conditions, technologies, and developmental stages☆19Updated last year
- ☆49Updated 3 months ago
- ☆11Updated last year
- PyTorch implementation of HisToGene☆33Updated 3 years ago
- Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications☆50Updated 11 months ago
- Reproducing the experiments of the DestVI paper☆17Updated 3 years ago
- A unified approach for integrating spatial and single-cell transcriptomics data by leveraging deep generative models☆59Updated 8 months ago
- Graph-based foundation model for spatial transcriptomics data. Zero-shot spatial domain inference, batch-effect correction, and many othe…☆31Updated this week
- Cell clustering for spatial transcriptomics data with graph neural network☆59Updated last year
- Super-resolved spatial transcriptomics by deep data fusion☆70Updated last year
- Deciphering tumor ecosystems at super-resolution from spatial transcriptomics with TESLA☆52Updated 11 months ago
- Spatially Resolved Gene Expression Prediction from H&E Histology Images via Bi-modal Contrastive Learning☆69Updated 3 months ago
- ☆18Updated 6 months ago
- ☆53Updated 2 years ago
- ☆12Updated 5 months ago