emreg00 / toolboxLinks
Toolbox - generic utilities for data processing (e.g., parsing, proximity, guild scoring, etc...)
☆112Updated 3 years ago
Alternatives and similar repositories for toolbox
Users that are interested in toolbox are comparing it to the libraries listed below
Sorting:
- Assorted tools for interacting with .gct, .gctx files and other Connectivity Map (Broad Institute) data/tools☆134Updated 3 years ago
- ☆68Updated 2 years ago
- A visible neural network model for drug response prediction☆149Updated 2 years ago
- Gene2Vec: Distributed Representation of Genes Based on Co-Expression☆123Updated 3 years ago
- Random Walk with Restart on Multiplex and Heterogeneous Biological Networks☆36Updated 5 years ago
- A Deep Learning based Efficacy Prediction System for drug discovery☆71Updated 2 years ago
- Network-based project to explore gene connectivity through biological scales☆23Updated 10 months ago
- An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.☆155Updated 3 years ago
- Python module for prior knowledge integration. Builds databases of signaling pathways, enzyme-substrate interactions, complexes, annotat…☆148Updated this week
- Supplementary code for the paper: Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19☆27Updated 4 years ago
- CMap Notebooks for LINCS 2020 Workshop☆46Updated 3 years ago
- Cancer Drug Response prediction using a Recommender System☆42Updated 2 years ago
- KGWAS: novel genetics discovery enabled by massive functional genomics knowledge graph☆73Updated 6 months ago
- Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network☆88Updated 2 years ago
- MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction☆55Updated 4 years ago
- ☆34Updated 7 years ago
- Discovering novel cell types across heterogenous single-cell experiments☆123Updated 2 years ago
- Multi-omics integration method using AE and GCN☆36Updated 2 years ago
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆123Updated 7 months ago
- Gene ontology (GO) semantic similarity library for Python☆24Updated 6 years ago
- A deep learning framework for high-throughput mechanism-driven phenotype screening☆50Updated 4 years ago
- Contextual AI models for single-cell protein biology☆88Updated 7 months ago
- ☆85Updated 2 years ago
- GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations☆291Updated 7 months ago
- Biological Network Integration using Convolutions☆62Updated last year
- Synthetic lethality (SL) is a promising gold mine for the discovery of anti-cancer drug targets. KG4SL is the first graph neural network …☆34Updated 2 years ago
- ☆28Updated 4 years ago
- ☆20Updated 11 months ago
- Cross matching drugs from different databases ( Drugbank, STITCH, ChEMBL PubChem, UMLS, TTD, KEGG, ZINC ) and saving in a structured TSV …☆31Updated last year
- Models and datasets for perturbational single-cell omics☆162Updated 3 years ago