emreg00 / toolbox
Toolbox - generic utilities for data processing (e.g., parsing, proximity, guild scoring, etc...)
☆109Updated 2 years ago
Alternatives and similar repositories for toolbox:
Users that are interested in toolbox are comparing it to the libraries listed below
- ☆66Updated last year
- Assorted tools for interacting with .gct, .gctx files and other Connectivity Map (Broad Institute) data/tools☆130Updated 2 years ago
- Supplementary code for the paper: Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19☆27Updated 4 years ago
- MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction☆55Updated 4 years ago
- A visible neural network model for drug response prediction☆141Updated last year
- Network-based project to explore gene connectivity through biological scales☆23Updated 5 months ago
- CMap Notebooks for LINCS 2020 Workshop☆46Updated 3 years ago
- A Deep Learning based Efficacy Prediction System for drug discovery☆64Updated 2 years ago
- ☆54Updated 5 years ago
- Random Walk with Restart on Multiplex and Heterogeneous Biological Networks☆36Updated 5 years ago
- Multi-omics integration method using AE and GCN☆34Updated last year
- Gene2Vec: Distributed Representation of Genes Based on Co-Expression☆114Updated 3 years ago
- ☆33Updated 7 years ago
- Cancer Drug Response prediction using a Recommender System☆41Updated last year
- Orientation of the protein-protein interaction network using network diffusion techniques☆15Updated 4 years ago
- Python module for prior knowledge integration. Builds databases of signaling pathways, enzyme-substrate interactions, complexes, annotat…☆138Updated this week
- KGWAS: novel genetics discovery enabled by massive functional genomics knowledge graph☆56Updated 2 weeks ago
- This repository contains the tensorflow implementation of "GNE: A deep learning framework for gene network inference by aggregating biolo…☆31Updated 4 years ago
- Library of Integrated Cellular Signatures L1000☆31Updated 2 years ago
- An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.☆149Updated 2 years ago
- Synthetic lethality (SL) is a promising gold mine for the discovery of anti-cancer drug targets. KG4SL is the first graph neural network …☆31Updated last year
- A deep learning framework for high-throughput mechanism-driven phenotype screening☆49Updated 3 years ago
- Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network☆79Updated last year
- Contextual AI models for single-cell protein biology☆82Updated last month
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆111Updated last month
- Heterogeneous disease-gene-related☆18Updated 3 years ago
- Drug-disease proximity based therapeutic effect screening and analysis☆19Updated 7 years ago
- For anyone who are eager to applying deep learning in bioinformatics!☆124Updated 6 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆49Updated 3 years ago
- PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…☆50Updated 10 months ago