idekerlab / DrugCellLinks
A visible neural network model for drug response prediction
☆142Updated last year
Alternatives and similar repositories for DrugCell
Users that are interested in DrugCell are comparing it to the libraries listed below
Sorting:
- Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data☆119Updated 2 years ago
- A Deep Learning based Efficacy Prediction System for drug discovery☆66Updated 2 years ago
- PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturb…☆52Updated 5 months ago
- Deep Learning the T Cell Receptor Binding Specificity of Neoantigen☆80Updated 2 years ago
- python tools for TCR:peptide-MHC modeling and analysis☆75Updated last year
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆32Updated last month
- BRAID is a department within Genentech dedicated to advancing biological and clinical sciences through artificial intelligence.☆197Updated last month
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆113Updated 3 months ago
- ☆68Updated last week
- A collection of available Python tools for Proteomics analysis☆57Updated 6 years ago
- BigMHC predicts MHC-I (neo)epitope presentation and immunogenicity☆53Updated last year
- Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Jo…☆174Updated last year
- Contextual AI models for single-cell protein biology☆87Updated 3 months ago
- KGWAS: novel genetics discovery enabled by massive functional genomics knowledge graph☆69Updated 2 months ago
- CMap Notebooks for LINCS 2020 Workshop☆46Updated 3 years ago
- Large language modeling applied to T-cell receptor (TCR) sequences.☆53Updated 3 years ago
- Python module for prior knowledge integration. Builds databases of signaling pathways, enzyme-substrate interactions, complexes, annotat…☆143Updated this week
- Assorted tools for interacting with .gct, .gctx files and other Connectivity Map (Broad Institute) data/tools☆130Updated 2 years ago
- Codes for paper: Evaluating the Utilities of Large Language Models in Single-cell Data Analysis.☆70Updated 4 months ago
- ☆74Updated last year
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆100Updated 9 months ago
- Models and datasets for perturbational single-cell omics☆154Updated 2 years ago
- Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network☆84Updated last year
- Predicting dynamic cellular protein-RNA interactions using deep learning and in vivo RNA structure☆64Updated last year
- MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction☆54Updated 4 years ago
- PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…☆51Updated last year
- Toolbox - generic utilities for data processing (e.g., parsing, proximity, guild scoring, etc...)☆110Updated 3 years ago
- ☆49Updated last year
- NetTCR-2.0. Sequence-based prediction of peptide-TCR binding☆34Updated 3 years ago
- Functional Embedding of Gene Signatures☆43Updated last year