yuzhenmao / ScRATLinks
Implementation of Phenotype prediction from single-cell RNA-seq data using attention-based neural networks (Bioinformatics 2024).
☆12Updated last year
Alternatives and similar repositories for ScRAT
Users that are interested in ScRAT are comparing it to the libraries listed below
Sorting:
- ☆56Updated last year
- A Deep Learning-Based Model for the integration, cross-dataset cross-modality generation, self augmentation and matched multi-omics simul…☆15Updated last month
- ☆17Updated 4 months ago
- ☆50Updated 6 months ago
- ☆59Updated last year
- Matilda is a multi-task framework for learning from single-cell multimodal omics data. Matilda leverages the information from the multi-m…☆21Updated 3 months ago
- Learning meaningful representations of genes☆19Updated 2 months ago
- ☆16Updated 3 weeks ago
- Single-cell biological network inference using a heterogeneous graph transformer☆75Updated 6 months ago
- Python agent-based model tool for inference, visualization and analysis of cell-cell communication from single-cell data☆33Updated last month
- ☆53Updated 9 months ago
- ☆40Updated 2 years ago
- ☆85Updated 2 years ago
- ☆29Updated 2 years ago
- 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☆55Updated last year
- ☆12Updated 5 months ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆53Updated 3 years ago
- Codes for paper: scELMo: Embeddings from Language Models are Good Learners for Single-cell Data Analysis☆14Updated 9 months ago
- ☆33Updated 5 months ago
- SpatialGlue is a novel deep learning methods for spatial multi-omics data integration.☆68Updated last year
- ☆32Updated 5 months ago
- scDiff: A General Single-Cell Analysis Framework via Conditional Diffusion Generative Models☆30Updated last year
- Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional…☆26Updated last year
- STAligner is a tool for alignment and integration of spatially resolved transcriptomics data.☆45Updated last year
- Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.☆27Updated last month
- SIMBA: SIngle-cell eMBedding Along with features☆19Updated last year
- Code for the benchmarking single-cell foundation models (scGPT, scBERT, and Geneformer) for cell-type annotation task using skewed single…☆13Updated 9 months ago
- Enhancing spatial transcriptomics data by predicting the expression of unmeasured genes from a dissociated scRNA-seq data☆36Updated last year
- Code for evaluating single cell foundation models scBERT and scGPT☆46Updated last year