snap-stanford / multiscale-interactomeLinks
☆68Updated 2 years ago
Alternatives and similar repositories for multiscale-interactome
Users that are interested in multiscale-interactome are comparing it to the libraries listed below
Sorting:
- Toolbox - generic utilities for data processing (e.g., parsing, proximity, guild scoring, etc...)☆113Updated 3 years ago
- Supplementary code for the paper: Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19☆28Updated 4 years ago
- Network-based project to explore gene connectivity through biological scales☆23Updated last year
- ☆58Updated 4 years ago
- Gene2Vec: Distributed Representation of Genes Based on Co-Expression☆125Updated 3 years ago
- ☆38Updated 7 years ago
- A Knowledge Graph for Relational Learning On Biological Data☆106Updated last year
- Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network☆89Updated 2 years ago
- A deep learning framework for high-throughput mechanism-driven phenotype screening☆50Updated 4 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 …☆34Updated 2 years ago
- ☆57Updated 6 years ago
- The official code implementation for DREAMwalk in Python.☆28Updated 2 years ago
- Contextual AI models for single-cell protein biology☆88Updated 8 months ago
- Bioinformatics 2020: Graph Neural Networks for DNA Sequence Classification☆33Updated 4 years ago
- ☆17Updated 4 years ago
- Assorted tools for interacting with .gct, .gctx files and other Connectivity Map (Broad Institute) data/tools☆134Updated 3 years ago
- Function prediction using a deep ontology-aware classifier☆84Updated 2 years ago
- MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction☆55Updated 5 years ago
- An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.☆159Updated 3 years ago
- ☆23Updated 2 years ago
- A collection of research papers, datasets and software related to knowledge graphs for drug discovery. Accompanies the paper "A review of…☆238Updated 5 months ago
- DeepTTC: a transformer-based model for predicting cancer drug response☆18Updated 2 years ago
- Machine Learning for Genomics and Therapeutics Resources (Cell Patterns)☆80Updated 3 years ago
- ☆20Updated 3 years ago
- Paper collection for single cell foundation models☆35Updated last year
- code for Gogleva et al manuscript☆46Updated 2 years ago
- PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…☆54Updated 2 months ago
- Drug Response Variational Autoencoder☆32Updated 6 years ago
- Amino Acid Embedding Representation as Machine Learning Features☆20Updated 7 years ago
- ☆34Updated 4 years ago