poseidonchan / TAPELinks
Deep learning-based tissue compositions and cell-type-specific gene expression analysis with tissue-adaptive autoencoder (TAPE)
☆58Updated last year
Alternatives and similar repositories for TAPE
Users that are interested in TAPE are comparing it to the libraries listed below
Sorting:
- A unified approach for integrating spatial and single-cell transcriptomics data by leveraging deep generative models☆77Updated last year
- Dependency-aware deep generative models for multitasking analysis of spatial genomics data☆40Updated last year
- ☆34Updated 9 months ago
- domain adaptation of spatial and single-cell transcriptome☆28Updated last year
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆39Updated 3 years ago
- Deep Transfer Learning of Drug Sensitivity by Integrating Bulk and Single-cell RNA-seq data☆59Updated last year
- Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis☆54Updated 7 months ago
- ☆129Updated 3 years ago
- MUSE is a deep learning approach characterizing tissue composition through combined analysis of morphologies and transcriptional states f…☆37Updated 3 years ago
- SpatialGlue is a novel deep learning methods for spatial multi-omics data integration.☆77Updated last year
- ☆60Updated last year
- ☆69Updated 6 months ago
- ☆56Updated 3 years ago
- ☆104Updated 2 months ago
- ☆49Updated last week
- Python agent-based model tool for inference, visualization and analysis of cell-cell communication from single-cell data☆35Updated last month
- Single-cell biological network inference using a heterogeneous graph transformer☆76Updated 10 months ago
- Probabilistic Alignment of Spatial Transcriptomics Experiments☆98Updated 10 months ago
- ☆56Updated 3 years ago
- A simulator for single cell multi-omics and spatial omics data that provides ground truth to benchmark a wide range of methods.☆68Updated 2 months ago
- Code for evaluating single cell foundation models scBERT and scGPT☆46Updated last year
- Reproducing the experiments of the DestVI paper☆22Updated 3 years ago
- Enhancing spatial transcriptomics data by predicting the expression of unmeasured genes from a dissociated scRNA-seq data☆41Updated last year
- Transformer for One-Stop Interpretable Cell-type Annotation☆146Updated last year
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆53Updated 4 years ago
- Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space☆80Updated last week
- ☆21Updated last year
- ☆32Updated last year
- Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets☆32Updated 2 years ago
- Flow2Spatial reconstructs spatial proteomics through transfer learning.☆23Updated 8 months ago