bio-ontology-research-group / DeepMOCCA
Graph Neural Network model for survival analysis from multi-omics data
☆11Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for DeepMOCCA
- ☆19Updated 4 years ago
- GEDFN: Graph-Embedded Deep Feedforward Network☆23Updated 5 years ago
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆24Updated last year
- DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis☆21Updated 3 years ago
- A unified downloader+preprocessor for cancer genomics datasets☆14Updated 7 months ago
- R package for the identification of cancer-associated mutated genes using gene expression and mutation data.☆10Updated 3 years ago
- Generative adversarial networks for single-cell RNA-seq imputation☆36Updated 4 years ago
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆55Updated 3 years ago
- using shallow neural network layer (embedding) to infer gene-gene/sample relationship from gene expression data☆21Updated 5 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
- Compute a 2D embedding of a data matrix given supervised class information.☆12Updated 4 years ago
- Large-scale automatic feature selection for biomarker discovery in high-dimensional OMICs data☆25Updated 7 months ago
- An R package to fit dose response curves for data from the Genomics of Drug Sensitivity of Cancer (GDSC) project.☆24Updated last year
- Classifying tumor types based on Whole Genome Sequencing (WGS) data☆46Updated 11 months ago
- Matilda is a multi-task framework for learning from single-cell multimodal omics data. Matilda leverages the information from the multi-m…☆20Updated 2 months ago
- Unsupervised cell functional annotation for single-cell RNA-Seq☆22Updated last year
- A R/MATLAB package to construct and compare gene regulatory networks from single-cell transcriptomic data☆21Updated 2 years ago
- ☆19Updated 3 weeks ago
- scRNAseq integration with triplet neural networks☆39Updated last year
- ☆17Updated 3 years ago
- Initial recommendations for performing, benchmarking, and reporting single-cell proteomics experiments. The code is distributed under an …☆9Updated last year
- Code for the analyses in the human reference interactome paper.☆26Updated last year
- scPretrain: Multi-task self-supervised learning for cell type classification☆22Updated 2 years ago
- resVAE is a restricted latent variational autoencoder that we wrote to uncover hidden structures in gene expression data, especially usin…☆12Updated last year
- Data Integration tool utilizing network information for predictive analyses☆16Updated last year
- A Python package for gene network analysis☆32Updated 2 years ago
- End-to-End learning framework for circular RNA classification from other long non-coding RNA using multimodal deep learning☆23Updated 4 years ago
- Preprocessing methylation pipeline, written in python. Easy to use and highly parallelized.☆35Updated 4 years ago
- Simultaneous deep generative modeling and clustering of single cell genomic data☆30Updated last year