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
- MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction☆54Updated 4 years ago
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 3 years ago
- Multi-omics biomarker discovery tool exploiting a gene-gene interaction network☆16Updated 11 months ago
- ☆55Updated 5 years ago
- An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.☆149Updated 2 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
- ☆11Updated 4 years ago
- Prediction of mRNA subcellular localization using deep recurrent neural networks☆14Updated 5 years ago
- HiGCN: a hierarchical graph convolution network for representation learning of gene expression data☆11Updated 4 years ago
- Cancer Drug Response prediction using a Recommender System☆41Updated last year
- CellBox: Interpretable Machine Learning for Perturbation Biology☆53Updated last year
- CMap Notebooks for LINCS 2020 Workshop☆46Updated 3 years ago
- Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks☆19Updated 9 months ago
- ☆65Updated last year
- ☆19Updated 4 years ago
- This repository contains the tensorflow implementation of "GNE: A deep learning framework for gene network inference by aggregating biolo…☆31Updated 4 years ago
- Core code for the paper "A deep learning model for drug response prediction from cancer genomic signatures and compound chemical structur…☆20Updated 3 years ago
- using shallow neural network layer (embedding) to infer gene-gene/sample relationship from gene expression data☆21Updated 6 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.☆49Updated 3 years ago
- ☆19Updated 4 years ago
- Knowledge-primed neural networks☆35Updated 2 years ago
- Python Implementation of SIMLR for single-cell visualization and analysis☆23Updated 2 years ago
- Code for paper "A deep learning framework for drug repurposing via emulating clinical trials on real world patient data" (Accepted to Nat…☆95Updated 3 years ago
- Network-based project to explore gene connectivity through biological scales☆23Updated 5 months ago
- Drug Response Variational Autoencoder☆30Updated 5 years ago
- DeepTTC: a transformer-based model for predicting cancer drug response☆15Updated last year
- covolutional neural network based coexpression analysis☆76Updated 4 years ago
- Toolbox - generic utilities for data processing (e.g., parsing, proximity, guild scoring, etc...)☆109Updated 3 years ago