LiuLab-Bioelectronics-Harvard / UnitedNetLinks
☆51Updated last year
Alternatives and similar repositories for UnitedNet
Users that are interested in UnitedNet are comparing it to the libraries listed below
Sorting:
- ☆56Updated last year
- a unified single-cell data integration framework by optimal transport☆35Updated last year
- ☆70Updated 6 months ago
- Code for evaluating single cell foundation models scBERT and scGPT☆46Updated last year
- Single-cell biological network inference using a heterogeneous graph transformer☆76Updated 11 months ago
- ☆33Updated last year
- ☆116Updated last week
- ☆90Updated 2 years ago
- MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in…☆174Updated 4 years ago
- Repository for Nicheformer: a foundation model for single-cell and spatial omics☆150Updated 2 months ago
- ☆40Updated 3 years ago
- MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations☆90Updated last year
- Identify spatial domain☆88Updated 8 months ago
- Modeling complex perturbations with CellFlow☆118Updated this week
- Implementation of Phenotype prediction from single-cell RNA-seq data using attention-based neural networks (Bioinformatics 2024).☆13Updated last year
- Transformer for One-Stop Interpretable Cell-type Annotation☆146Updated last year
- STAligner: Integrating spatial transcriptomics data across different conditions, technologies, and developmental stages☆25Updated 2 years ago
- Single-Cell (Perturbation) Model Library☆89Updated 3 weeks ago
- [Cell Patterns] Codes for paper: scELMo: Embeddings from Language Models are Good Learners for Single-cell Data Analysis☆20Updated last week
- ☆30Updated 2 years ago
- Dependency-aware deep generative models for multitasking analysis of spatial genomics data☆40Updated last year
- Pytorch implementation of scDeepCluster for Single Cell RNA-seq data☆34Updated last year
- Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.☆101Updated last year
- ☆70Updated 3 months ago
- scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks☆154Updated last year
- Cell clustering for spatial transcriptomics data with graph neural network☆64Updated 2 years ago
- Deep Transfer Learning of Drug Sensitivity by Integrating Bulk and Single-cell RNA-seq data☆59Updated last year
- ☆25Updated last year
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆61Updated 3 weeks ago
- A unified approach for integrating spatial and single-cell transcriptomics data by leveraging deep generative models☆77Updated last year