idekerlab / DrugCell
A visible neural network model for drug response prediction
☆140Updated last year
Alternatives and similar repositories for DrugCell:
Users that are interested in DrugCell are comparing it to the libraries listed below
- A Deep Learning based Efficacy Prediction System for drug discovery☆64Updated 2 years ago
- python tools for TCR:peptide-MHC modeling and analysis☆71Updated 10 months ago
- PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturb…☆37Updated 2 months ago
- Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data☆118Updated 2 years ago
- Deep Learning the T Cell Receptor Binding Specificity of Neoantigen☆78Updated 2 years ago
- Toolbox - generic utilities for data processing (e.g., parsing, proximity, guild scoring, etc...)☆109Updated 2 years ago
- Large language modeling applied to T-cell receptor (TCR) sequences.☆50Updated 2 years ago
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆48Updated last month
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆109Updated last month
- Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Jo…☆167Updated 11 months ago
- Functional Embedding of Gene Signatures☆40Updated last year
- Contextual AI models for single-cell protein biology☆79Updated 3 weeks ago
- Assorted tools for interacting with .gct, .gctx files and other Connectivity Map (Broad Institute) data/tools☆130Updated 2 years ago
- CMap Notebooks for LINCS 2020 Workshop☆46Updated 3 years ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆30Updated last month
- Models and datasets for perturbational single-cell omics☆150Updated 2 years ago
- ☆71Updated last year
- What you need to process the Quarterly DepMap-Omics releases from Terra☆114Updated last week
- NetTCR-2.0. Sequence-based prediction of peptide-TCR binding☆33Updated 2 years ago
- BigMHC predicts MHC-I (neo)epitope presentation and immunogenicity☆50Updated 10 months ago
- KGWAS: novel genetics discovery enabled by massive functional genomics knowledge graph☆55Updated this week
- Images and other data from the JUMP Cell Painting Consortium☆165Updated 3 weeks ago
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆114Updated last week
- ☆41Updated 3 years ago
- Python module for prior knowledge integration. Builds databases of signaling pathways, enzyme-substrate interactions, complexes, annotat…☆138Updated last week
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆95Updated 6 months ago
- ☆53Updated last year
- Knowledge-primed neural networks☆35Updated last year
- Predicting dynamic cellular protein-RNA interactions using deep learning and in vivo RNA structure☆61Updated last year
- Python packaging for CPTAC data☆94Updated 8 months ago