STOmics / StereoMMv1Links
StereoMM is a graph fusion model that can integrate gene expression, histological images, and spatial location. And the information interaction within modalities is strengthened by introducing an attention mechanism.
☆37Updated 4 months ago
Alternatives and similar repositories for StereoMMv1
Users that are interested in StereoMMv1 are comparing it to the libraries listed below
Sorting:
- ☆19Updated 3 years ago
- Spatial Cellular Estimator for Tumors☆57Updated last month
- ☆40Updated 2 years ago
- ☆31Updated 2 months ago
- GASTON: deep learning algorithm learns "topography" of a tissue slice from spatial transcriptomics data☆59Updated 3 months ago
- ☆59Updated last year
- SPROD: Spatial expression profiling de-noising☆37Updated 2 years ago
- Spatial transcriptome analysis in python☆24Updated 8 months ago
- ☆31Updated 2 years ago
- The first computational tool that enables both unsupervised and supervised discovery of tissue spatial domains☆32Updated 5 months ago
- TACCO: Transfer of Annotations to Cells and their COmbinations☆57Updated 3 weeks ago
- Predict RNA velocity through deep learning☆70Updated last year
- Code used to benchmark Xenium☆66Updated last year
- Spatial Transcriptomic Analysis of OSCC samples☆26Updated 2 years ago
- A tool for semi-automatic cell type harmonization and integration☆110Updated 6 months ago
- ☆125Updated 3 years ago
- The benchmarking of spatial transcriptomics deconvolution methods☆32Updated 2 years ago
- ST Pipeline contains the tools and scripts needed to process and analyze the raw files generated with the Spatial Transcriptomics method …☆86Updated 6 months ago
- ☆50Updated 4 months ago
- Inferring allele-specific copy number aberrations and tumor phylogeography from spatially resolved transcriptomics☆41Updated last month
- PhyloVelo, Phylogeny-based transcriptomic velocity of single cells☆43Updated last week
- Clone Calling from Visium Spatial Transcriptomics of Cancer samples☆80Updated 2 years ago
- Accurate and fast cell marker gene identification with COSG☆51Updated 6 months ago
- Tutorial of single-cell RNA-ATAC multiomic sequencing data analysis☆66Updated last year
- Axolotl Regenerative Telencehpalon Interpretation via Spatiotemporal Transcriptomic Atlas☆21Updated 3 years ago
- MeDuSA is a fine-resolution cellular deconvolution method that leverages scRNA-seq data as a reference to estimate cell-state abundance i…☆44Updated 7 months ago
- R implementation of GeneTrajectory☆65Updated last year
- Enhancing spatial transcriptomics data by predicting the expression of unmeasured genes from a dissociated scRNA-seq data☆36Updated last year
- UniCell Deconvolve - Cloud Cell Type Deconvolution For Transcriptomic Data☆26Updated 2 years ago
- Single-cell Lung Cancer Atlas with 1.2M cells☆68Updated 8 months ago