AltschulerWu-Lab / MUSE
MUSE is a deep learning approach characterizing tissue composition through combined analysis of morphologies and transcriptional states for spatially resolved transcriptomics data.
☆34Updated 2 years ago
Alternatives and similar repositories for MUSE:
Users that are interested in MUSE are comparing it to the libraries listed below
- Sub-cellular spatial transcriptomics Cell Segmentation☆62Updated last year
- Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications☆50Updated last year
- Biologically-informed deep learning for cell segmentation of subcelluar spatial transcriptomics data☆40Updated 8 months ago
- ☆34Updated 11 months ago
- ☆31Updated 2 months ago
- A Python toolkit for subcellular analysis of spatial transcriptomics data☆76Updated 3 weeks ago
- data for spacejam2☆17Updated 2 years ago
- Construction of a 3D whole organism spatial atlas by joint modeling of multiple slices☆60Updated last year
- A spatial omics data analysis tool that enables both unsupervised and supervised discovery of complex tissue cellular neighborhoods from …☆21Updated 3 months ago
- Super-resolved spatial transcriptomics by deep data fusion☆72Updated last year
- ☆45Updated last week
- Graph-based foundation model for spatial transcriptomics data. Zero-shot spatial domain inference, batch-effect correction, and many othe…☆34Updated last week
- ☆14Updated 3 years ago
- Probabilistic Alignment of Spatial Transcriptomics Experiments v.2☆34Updated 2 weeks ago
- ☆42Updated 3 months ago
- astir | Automated cell identity from single-cell multiplexed imaging and proteomics 🖥🔬✨☆52Updated 9 months ago
- ☆49Updated 3 years ago
- Deep learning-based tissue compositions and cell-type-specific gene expression analysis with tissue-adaptive autoencoder (TAPE)☆53Updated 11 months ago
- ☆48Updated this week
- an SRT simulator for simulating multiple spatial variability in spatial resolved transcriptomics and generating unbiased simulated SRT da…☆23Updated last week
- Python tool for alignment of spatial transcriptomics (ST) data using diffeomorphic metric mapping☆75Updated last year
- Reproducing the experiments of the DestVI paper☆18Updated 3 years ago
- Self-supervised representation learning combining GTEx histology, RNA-seq and WGS☆29Updated last week
- Tools for generating single-cell gene expression data☆31Updated 8 months ago
- ☆12Updated 6 months ago
- SpatialGlue is a novel deep learning methods for spatial multi-omics data integration.☆51Updated 8 months ago
- ClusterMap for multi-scale clustering analysis of spatial gene expression☆44Updated 8 months ago
- domain adaptation of spatial and single-cell transcriptome☆26Updated 6 months ago
- comseg☆19Updated last month
- CellLENS: Cross-domain information fusion for enhanced cell population delineation in single-cell spatial-omics data☆14Updated last month