TencentAILabHealthcare / scpDeconv
☆10Updated last year
Alternatives and similar repositories for scpDeconv:
Users that are interested in scpDeconv are comparing it to the libraries listed below
- Repository for Nicheformer: a foundation model for single-cell and spatial omics☆90Updated last month
- CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis☆33Updated 2 years ago
- Cell clustering for spatial transcriptomics data with graph neural network☆61Updated 2 years ago
- ☆33Updated 10 months ago
- ☆112Updated last year
- a unified single-cell data integration framework by optimal transport☆35Updated 6 months ago
- ☆50Updated 4 months ago
- ☆29Updated 2 years ago
- scNODE: Generative Model for Temporal Single Cell Transcriptomic Data Prediction☆19Updated 6 months ago
- A unified approach for integrating spatial and single-cell transcriptomics data by leveraging deep generative models☆63Updated 11 months ago
- Identify spatial domain☆71Updated last year
- ☆10Updated last year
- Code for evaluating single cell foundation models scBERT and scGPT☆43Updated 8 months ago
- ☆20Updated 6 months ago
- ☆39Updated last year
- Sub-cellular spatial transcriptomics Cell Segmentation☆64Updated last year
- ☆17Updated 3 years ago
- ☆77Updated last year
- Codes for paper: Evaluating the Utilities of Large Language Models in Single-cell Data Analysis.☆68Updated 3 months ago
- Single-Cell (Perturbation) Model Library☆53Updated last month
- STAligner is a tool for alignment and integration of spatially resolved transcriptomics data.☆39Updated last year
- Single-cell biological network inference using a heterogeneous graph transformer☆72Updated 2 months ago
- ☆56Updated 9 months ago
- A model developed for the generation of scRNA-seq data☆59Updated 2 months ago
- Her2 Breast Cancer Project☆71Updated 2 years ago
- Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics☆45Updated last year
- ☆55Updated 5 months ago
- An offical repo for paper "Single-cells are Spatial Tokens: Transformers for Spatially Resolved Transcriptomics Data Imputation"☆17Updated last year
- Deep joint-leaning single-cell multi-omics model☆16Updated 2 years ago
- conST: an interpretable multi-modal contrastive learning framework for spatial transcriptomics☆26Updated last year