LiuLab-Bioelectronics-Harvard / UnitedNet
☆44Updated last year
Alternatives and similar repositories for UnitedNet:
Users that are interested in UnitedNet are comparing it to the libraries listed below
- ☆50Updated 3 months ago
- a unified single-cell data integration framework by optimal transport☆35Updated 6 months ago
- CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis☆33Updated 2 years ago
- Identify spatial domain☆69Updated last year
- Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics (STAGATE software based on pyG framewo…☆56Updated last year
- ☆51Updated last month
- Codes for paper: Evaluating the Utilities of Large Language Models in Single-cell Data Analysis.☆66Updated 2 months ago
- Cell clustering for spatial transcriptomics data with graph neural network☆59Updated 2 years ago
- SpatialGlue is a novel deep learning methods for spatial multi-omics data integration.☆52Updated 9 months ago
- ☆29Updated last year
- ☆38Updated 2 years ago
- Deep Transfer Learning of Drug Sensitivity by Integrating Bulk and Single-cell RNA-seq data☆53Updated 8 months ago
- Single-Cell (Perturbation) Model Library☆45Updated 2 weeks ago
- ☆10Updated last year
- Dependency-aware deep generative models for multitasking analysis of spatial genomics data☆35Updated 8 months ago
- Repository for Nicheformer: a foundation model for single-cell and spatial omics☆88Updated last week
- ☆27Updated last year
- Transformer for One-Stop Interpretable Cell-type Annotation☆138Updated last year
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆38Updated 2 years ago
- Single-cell biological network inference using a heterogeneous graph transformer☆72Updated last month
- MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in…☆160Updated 4 years ago
- ☆53Updated 11 months ago
- Code for evaluating single cell foundation models scBERT and scGPT☆40Updated 7 months ago
- ☆74Updated last year
- CoGO: a contrastive learning framework to predict disease similarity based on gene network and ontology structure☆16Updated 6 months ago
- A unified approach for integrating spatial and single-cell transcriptomics data by leveraging deep generative models☆63Updated 10 months ago
- STAligner: Integrating spatial transcriptomics data across different conditions, technologies, and developmental stages☆22Updated last year
- ☆39Updated last year
- Multi-omics data analysis for rare population inference using single-cell graph transformer☆19Updated 4 months ago
- Single-cell spatial elucidation through image-augmented graph transformer☆31Updated last year