HakimBenkirane / CustOmics
A deep-learning framework for multi-omics integration
☆24Updated last year
Related projects ⓘ
Alternatives and complementary repositories for CustOmics
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆48Updated 2 years ago
- Repository for Nicheformer: a foundation model for single-cell and spatial omics☆65Updated 6 months ago
- Multi-omics integration method using AE and GCN☆31Updated last year
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆55Updated 3 years ago
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆47Updated last year
- scPretrain: Multi-task self-supervised learning for cell type classification☆22Updated 2 years ago
- ☆53Updated 2 years ago
- ☆41Updated 2 years ago
- Code to reproduce results in Ravindra NG* & Sehanobish A* et al. 2020, "Disease State Prediction From Single-Cell Data Using Graph Attent…☆16Updated 4 years ago
- Sub-cellular spatial transcriptomics Cell Segmentation☆56Updated last year
- ☆49Updated last year
- ☆29Updated 3 years ago
- Cell clustering for spatial transcriptomics data with graph neural network☆58Updated last year
- Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications☆48Updated 8 months ago
- ☆48Updated 7 months ago
- CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis☆30Updated last year
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆24Updated last year
- Code for evaluating single cell foundation models scBERT and scGPT☆30Updated 2 months ago
- ☆16Updated 3 years ago
- Cell2Sentence turns scRNA-seq data into text for LLM training.☆84Updated 2 months ago
- Create cell sentences from sequencing data☆21Updated 3 months ago
- Discovering novel cell types across heterogenous single-cell experiments☆119Updated last year
- ☆28Updated 2 years ago
- ☆8Updated 4 years ago
- Multi-task deep learning framework for multi-omics data analysis☆40Updated 2 years ago
- ☆29Updated 10 months ago
- Synthetic whole-slide imaging tile generation with gene expression profiles infused deep generative models - Cell Reports Methods☆14Updated last year
- ☆15Updated 3 years ago
- Biological Network Integration using Convolutions☆59Updated 10 months ago
- resVAE is a restricted latent variational autoencoder that we wrote to uncover hidden structures in gene expression data, especially usin…☆12Updated last year