OSU-BMBL / deepmapsLinks
Single-cell biological network inference using a heterogeneous graph transformer
☆73Updated 4 months ago
Alternatives and similar repositories for deepmaps
Users that are interested in deepmaps are comparing it to the libraries listed below
Sorting:
- ☆82Updated 2 years ago
- ☆29Updated 2 years ago
- Cell clustering for spatial transcriptomics data with graph neural network☆63Updated 2 years ago
- Additional code and analysis from the single-cell integration benchmarking project☆67Updated 2 years ago
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆39Updated 2 years ago
- ☆33Updated 2 years ago
- Deep learning model for single-cell inference of multi-omic profiles from a single input modality.☆42Updated last year
- SIMBA: SIngle-cell eMBedding Along with features☆63Updated 8 months ago
- Transformer for One-Stop Interpretable Cell-type Annotation☆142Updated last year
- ☆17Updated 3 years ago
- ☆124Updated last year
- A VGAE-based model to infer transcription factor regulatory network☆27Updated 2 years ago
- ☆19Updated 8 months ago
- Spatial-Linked Alignment Tool☆87Updated 6 months ago
- STAligner is a tool for alignment and integration of spatially resolved transcriptomics data.☆41Updated last year
- Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics☆46Updated 2 years ago
- overview of spatial datasets☆75Updated last year
- Codes for paper: Evaluating the Utilities of Large Language Models in Single-cell Data Analysis.☆71Updated 3 weeks ago
- ☆38Updated 2 years ago
- Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics (STAGATE software based on pyG framewo…☆57Updated last year
- Deciphering driver regulators of cell fate decisions from single-cell RNA-seq data☆24Updated 8 months ago
- Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics☆73Updated 3 years ago
- A unified approach for integrating spatial and single-cell transcriptomics data by leveraging deep generative models☆67Updated last year
- Models and datasets for perturbational single-cell omics☆153Updated 2 years ago
- Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network☆103Updated 2 years ago
- Deep Transfer Learning of Drug Sensitivity by Integrating Bulk and Single-cell RNA-seq data☆54Updated 11 months ago
- ☆45Updated 2 years ago
- ☆108Updated last month
- scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics☆40Updated 2 years ago
- ☆60Updated 8 months ago