CSB5 / CaDRReS
Cancer Drug Response prediction using a Recommender System
☆41Updated last year
Related projects ⓘ
Alternatives and complementary repositories for CaDRReS
- MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction☆53Updated 4 years ago
- CMap Notebooks for LINCS 2020 Workshop☆45Updated 3 years ago
- insilico Pathway Activation Network Decomposition Analysis (iPANDA) package. Owned by Insilico Medicine Inc. iPANDA is a pathway analysis…☆25Updated 7 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆48Updated 2 years ago
- CNN architecture for predicting DNA binding sites for Transcription Factors☆48Updated 5 years ago
- using shallow neural network layer (embedding) to infer gene-gene/sample relationship from gene expression data☆21Updated 5 years ago
- repository containing analysis scripts and auxiliary files☆30Updated 4 years ago
- ☆19Updated 4 years ago
- Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network☆70Updated last year
- This repository contains the tensorflow implementation of "GNE: A deep learning framework for gene network inference by aggregating biolo…☆31Updated 3 years ago
- An actionable database of publicly available single-cell RNA-seq data☆41Updated 5 years ago
- covolutional neural network based coexpression analysis☆74Updated 4 years ago
- Toolbox - generic utilities for data processing (e.g., parsing, proximity, guild scoring, etc...)☆108Updated 2 years ago
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆55Updated 3 years ago
- ☆19Updated 3 weeks ago
- Knowledge-primed neural networks☆34Updated last year
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆29Updated this week
- Biological Network Integration using Convolutions☆59Updated 9 months ago
- ☆21Updated 4 years ago
- Multi-omics integration method using AE and GCN☆31Updated last year
- Discovering novel cell types across heterogenous single-cell experiments☆120Updated last year
- iDeep: integrated prediction of RNA-protein binding sites using deep learning☆39Updated 4 years ago
- ☆32Updated 6 years ago
- Network-based project to explore gene connectivity through biological scales☆20Updated 2 weeks ago
- Tools related to the Genomics of Drug Sensitivity in Cancer (GDSC) projects (http://www.cancerrxgene.org/ )☆34Updated 2 years ago
- GEDFN: Graph-Embedded Deep Feedforward Network☆23Updated 5 years ago
- Large-scale automatic feature selection for biomarker discovery in high-dimensional OMICs data☆25Updated 7 months ago
- Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit☆48Updated last year
- Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks☆18Updated 4 months ago
- Deep Learning Method to Identify Cancer Associated TCRs☆45Updated 2 years ago