sunericd / TISSUELinks
TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation) provides tools for estimating well-calibrated uncertainty measures for gene expression predictions in single-cell spatial transcriptomics datasets and utilizing them in downstream analyses
☆40Updated last year
Alternatives and similar repositories for TISSUE
Users that are interested in TISSUE are comparing it to the libraries listed below
Sorting:
- ☆57Updated last year
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆53Updated 3 years ago
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆39Updated 3 years ago
- ☆87Updated last year
- ☆38Updated 2 weeks ago
- Integrate Any Omics: Towards genome-wide data integration for patient stratification☆56Updated 6 months ago
- ☆50Updated 8 months ago
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆51Updated 3 months ago
- ☆61Updated last year
- ☆113Updated 9 months ago
- ☆16Updated 3 weeks ago
- ☆73Updated last year
- 🏃 The go-to single-cell Foundation Model☆119Updated this week
- Reproducing the experiments of the DestVI paper☆21Updated 3 years ago
- Matilda is a multi-task framework for learning from single-cell multimodal omics data. Matilda leverages the information from the multi-m…☆22Updated 5 months ago
- Learning cell communication from spatial graphs of cells☆114Updated last year
- Create cell sentences from sequencing data☆23Updated last year
- ☆58Updated 4 months ago
- Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.☆29Updated 3 months ago
- Discovering novel cell types across heterogenous single-cell experiments☆123Updated 2 years ago
- End-to-end analysis of spatial multi-omics data☆95Updated 2 weeks ago
- SpatialGlue is a novel deep learning methods for spatial multi-omics data integration.☆71Updated last year
- Generative adversarial networks for single-cell RNA-seq imputation☆39Updated 5 years ago
- ☆17Updated 6 months ago
- CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer☆28Updated 2 months ago
- Construction of a 3D whole organism spatial atlas by joint modeling of multiple slices☆69Updated 2 years ago
- spatial transcriptome, single cell☆71Updated 2 years ago
- Deep learning-based tissue compositions and cell-type-specific gene expression analysis with tissue-adaptive autoencoder (TAPE)☆56Updated last year
- Conditional out-of-distribution prediction☆62Updated last year
- Simultaneous deep generative modeling and clustering of single cell genomic data☆32Updated 3 years ago