RicardoRamirez2020 / GCN_Cancer
☆23Updated 4 years ago
Alternatives and similar repositories for GCN_Cancer
Users that are interested in GCN_Cancer 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
- MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction☆54Updated 4 years ago
- using shallow neural network layer (embedding) to infer gene-gene/sample relationship from gene expression data☆21Updated 6 years ago
- Multi-omics integration method using AE and GCN☆34Updated last year
- 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
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆23Updated 2 years ago
- Prediction of mRNA subcellular localization using deep recurrent neural networks☆15Updated 5 years ago
- An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.☆152Updated 3 years ago
- Multi-omics biomarker discovery tool exploiting a gene-gene interaction network☆17Updated last year
- ☆65Updated last year
- Cell clustering for spatial transcriptomics data with graph neural network☆61Updated 2 years ago
- Network-based project to explore gene connectivity through biological scales☆23Updated 6 months ago
- A VGAE-based model to infer transcription factor regulatory network☆26Updated 2 years ago
- scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks☆144Updated 9 months ago
- Deep-Learning framework for multi-omic and survival data integration☆82Updated last year
- ☆9Updated 5 years ago
- Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks☆19Updated 10 months ago
- Experimental evaluation and comparison of multi-omics data integration methods for cancer subtyping☆13Updated 3 years ago
- ☆30Updated 2 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆50Updated 3 years ago
- A deep-learning framework for multi-omics integration☆26Updated last year
- Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence☆39Updated 2 years ago
- CMap Notebooks for LINCS 2020 Workshop☆46Updated 3 years ago
- scPretrain: Multi-task self-supervised learning for cell type classification☆23Updated 3 years ago
- Python Implementation of SIMLR for single-cell visualization and analysis☆23Updated 2 years ago
- Random Walk with Restart on Multiplex and Heterogeneous Biological Networks☆36Updated 5 years ago
- ☆43Updated 5 months ago
- Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis☆54Updated 3 years ago
- ☆11Updated 3 years ago
- ☆38Updated 2 years ago