RicardoRamirez2020 / GCN_CancerLinks
☆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:
- An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.☆152Updated 3 years ago
- using shallow neural network layer (embedding) to infer gene-gene/sample relationship from gene expression data☆21Updated 6 years ago
- Toolbox - generic utilities for data processing (e.g., parsing, proximity, guild scoring, etc...)☆111Updated 3 years ago
- MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction☆55Updated 4 years ago
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 4 years ago
- Framework for Interpretable Neural Networks☆106Updated 3 months ago
- Multi-omics integration method using AE and GCN☆36Updated 2 years ago
- scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks☆146Updated 11 months ago
- Assorted tools for interacting with .gct, .gctx files and other Connectivity Map (Broad Institute) data/tools☆130Updated 2 years ago
- covolutional neural network based coexpression analysis☆78Updated 5 years ago
- ☆82Updated 2 years ago
- CNN architecture for predicting DNA binding sites for Transcription Factors☆52Updated 6 years ago
- Cancer Drug Response prediction using a Recommender System☆42Updated 2 years ago
- scDeepCluster for Single Cell RNA-seq data☆102Updated last year
- MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in…☆165Updated 4 years ago
- CellBox: Interpretable Machine Learning for Perturbation Biology☆54Updated last year
- Gene2Vec: Distributed Representation of Genes Based on Co-Expression☆120Updated 3 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆50Updated 3 years ago
- Python Implementation of SIMLR for single-cell visualization and analysis☆23Updated 2 years ago
- Cell clustering for spatial transcriptomics data with graph neural network☆63Updated 2 years ago
- Training and evaluating a variational autoencoder for pan-cancer gene expression data☆170Updated 6 years ago
- ☆34Updated 2 years ago
- scPretrain: Multi-task self-supervised learning for cell type classification☆23Updated 3 years ago
- Multi-omics biomarker discovery tool exploiting a gene-gene interaction network☆16Updated last year
- P-NET, Biologically informed deep neural network for prostate cancer classification and discovery☆156Updated 3 years ago
- Towards Gene Expression Convolutions using Gene Interaction Graphs☆75Updated 3 years ago
- Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks☆19Updated last year
- Discovering novel cell types across heterogenous single-cell experiments☆123Updated 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…☆96Updated 3 years ago
- Adversarial generation of gene expression data using Generative Adversarial Networks☆27Updated 3 years ago