RaminHasibi / GraphFeatureAutoencoderLinks
A repo for implementation of Graph features autoencoder for expression values prediction and imputation
☆18Updated 4 years ago
Alternatives and similar repositories for GraphFeatureAutoencoder
Users that are interested in GraphFeatureAutoencoder are comparing it to the libraries listed below
Sorting:
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 3 years ago
- single-cell graph autoencoder☆22Updated 3 years ago
- a unified single-cell data integration framework by optimal transport☆35Updated 8 months ago
- Hypergraph Factorisation☆23Updated 6 months ago
- CoGO: a contrastive learning framework to predict disease similarity based on gene network and ontology structure☆17Updated 8 months ago
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆23Updated 2 years ago
- ☆17Updated 3 years ago
- scPretrain: Multi-task self-supervised learning for cell type classification☆23Updated 3 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆50Updated 3 years ago
- Single cell joint embedding and modality prediction with autoencoder☆9Updated 2 years ago
- scDiff: A General Single-Cell Analysis Framework via Conditional Diffusion Generative Models☆28Updated 9 months ago
- ☆31Updated 2 years ago
- Interpretation by Deep Generative Masking for Biological Sequences☆37Updated 3 years ago
- Single-cell biological network inference using a heterogeneous graph transformer☆73Updated 3 months ago
- Biological Network Integration using Convolutions☆62Updated last year
- Code for Nature Scientific Reports 2020 paper: "Unsupervised generative and graph neural methods for modelling cell differentiation" by I…☆18Updated 4 years ago
- 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☆62Updated 2 years ago
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆39Updated 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 5 years ago
- ☆14Updated 2 months ago
- A Python toolkit for setting up benchmarking dataset using biomedical networks☆22Updated last week
- DeepTTC: a transformer-based model for predicting cancer drug response☆16Updated 2 years ago
- Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks☆19Updated 11 months ago
- A VGAE-based model to infer transcription factor regulatory network☆27Updated 2 years ago
- Deep joint-leaning single-cell multi-omics model☆16Updated 2 years ago
- ☆16Updated 11 months ago
- Batch-adversarial variational auto-encoder (BAVARIA) for simultaneous dimensionality reduction and integration of single-cell ATAC-seq da…☆14Updated 2 years ago
- A deep-learning framework for multi-omics integration☆26Updated last year
- ☆24Updated 4 months ago