HakimBenkirane / CustOmics
A deep-learning framework for multi-omics integration
☆24Updated last year
Alternatives and similar repositories for CustOmics:
Users that are interested in CustOmics are comparing it to the libraries listed below
- Multi-omics integration method using AE and GCN☆33Updated last year
- ☆32Updated 3 years ago
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 3 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆50Updated 3 years ago
- ☆17Updated 3 years ago
- Code for evaluating single cell foundation models scBERT and scGPT☆34Updated 4 months ago
- Cell clustering for spatial transcriptomics data with graph neural network☆59Updated last year
- a unified single-cell data integration framework by optimal transport☆33Updated 3 months ago
- Drug Response Prediction and Biomarker Discovery Using Multi-Modal Deep Learning☆12Updated 8 months 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
- Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications☆48Updated 10 months ago
- ☆35Updated 2 years ago
- MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction☆53Updated 4 years ago
- scPretrain: Multi-task self-supervised learning for cell type classification☆22Updated 3 years ago
- Self-supervised representation learning combining GTEx histology, RNA-seq and WGS☆23Updated 4 months ago
- ☆50Updated 2 years ago
- Repository for Nicheformer: a foundation model for single-cell and spatial omics☆76Updated last week
- SpatialGlue is a novel deep learning methods for spatial multi-omics data integration.☆45Updated 6 months ago
- ☆54Updated 2 years ago
- Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks☆19Updated 6 months ago
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆24Updated last year
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆47Updated 2 weeks ago
- CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis☆31Updated 2 years ago
- ☆15Updated 3 years ago
- ☆51Updated 9 months ago
- ☆42Updated last month
- Reproducing the experiments of the DestVI paper☆17Updated 2 years ago
- Cell2Sentence turns scRNA-seq data into text for LLM training.☆84Updated 4 months ago
- ☆54Updated 4 months ago