ml4bio / CLEAR
CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis
☆33Updated 2 years ago
Alternatives and similar repositories for CLEAR:
Users that are interested in CLEAR are comparing it to the libraries listed below
- ☆17Updated 3 years ago
- Repository for Nicheformer: a foundation model for single-cell and spatial omics☆89Updated 3 weeks ago
- ☆20Updated 6 months ago
- Codes for paper: Evaluating the Utilities of Large Language Models in Single-cell Data Analysis.☆68Updated 3 months ago
- a unified single-cell data integration framework by optimal transport☆35Updated 6 months ago
- ☆38Updated 2 years ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆32Updated 2 months ago
- Single-Cell (Perturbation) Model Library☆50Updated last month
- A unified approach for integrating spatial and single-cell transcriptomics data by leveraging deep generative models☆63Updated 10 months ago
- Deep Learning the T Cell Receptor Binding Specificity of Neoantigen☆80Updated 2 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆49Updated 3 years ago
- ☆76Updated last year
- Deep learning model for single-cell inference of multi-omic profiles from a single input modality.☆41Updated last year
- ☆10Updated last year
- Cell clustering for spatial transcriptomics data with graph neural network☆61Updated 2 years ago
- Code for evaluating single cell foundation models scBERT and scGPT☆41Updated 7 months ago
- Identify spatial domain☆70Updated 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
- Single-cell ATAC-seq analysis via Latent feature Extraction☆102Updated last year
- ☆33Updated 10 months ago
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆99Updated 8 months ago
- ☆14Updated 3 years ago
- Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space☆76Updated 3 weeks ago
- ☆112Updated last year
- ☆50Updated 4 months ago
- Single cell joint embedding and modality prediction with autoencoder☆9Updated 2 years ago
- Additional code and analysis from the single-cell integration benchmarking project☆60Updated 2 years ago
- Transformer for One-Stop Interpretable Cell-type Annotation☆138Updated last year
- Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.☆57Updated 10 months ago