Emad-COMBINE-lab / MARSY
Code for the MARSY model with sample input and response. I included figures to show the architecture and format of input samples.
☆12Updated 2 years ago
Alternatives and similar repositories for MARSY:
Users that are interested in MARSY are comparing it to the libraries listed below
- A Deep Learning based Efficacy Prediction System for drug discovery☆65Updated 2 years ago
- PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturb…☆40Updated 3 months ago
- The official code implementation for Chromoformer in PyTorch. (Lee et al., Nature Communications. 2022)☆34Updated last year
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆48Updated 2 months ago
- KGWAS: novel genetics discovery enabled by massive functional genomics knowledge graph☆56Updated 3 weeks ago
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆111Updated last month
- Functional Embedding of Gene Signatures☆41Updated last year
- CMap Notebooks for LINCS 2020 Workshop☆46Updated 3 years ago
- BigMHC predicts MHC-I (neo)epitope presentation and immunogenicity☆50Updated 11 months ago
- Knowledge-primed neural networks☆35Updated 2 years ago
- ☆26Updated 4 months ago
- Python package to load and query ARCHS4 data☆19Updated 2 weeks ago
- Single-Cell (Perturbation) Model Library☆42Updated last week
- python tools for TCR:peptide-MHC modeling and analysis☆72Updated 11 months ago
- ☆57Updated last year
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆30Updated last month
- Multi-omics biomarker discovery tool exploiting a gene-gene interaction network☆16Updated 11 months ago
- Deep Learning the T Cell Receptor Binding Specificity of Neoantigen☆78Updated 2 years ago
- Contextual AI models for single-cell protein biology☆82Updated last month
- Evaluating batch correction methods for image-based cell profiling☆12Updated 2 months ago
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆97Updated 7 months ago
- Cell2Sentence: Teaching Large Language Models the Language of Biology☆45Updated 3 months ago
- PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…☆50Updated 10 months ago
- Pipeline for assessing the tractability of potential targets (starting from Gene IDs)☆22Updated last month
- Create cell sentences from sequencing data☆22Updated 7 months ago
- ☆14Updated 2 months ago
- Codes for paper: Evaluating the Utilities of Large Language Models in Single-cell Data Analysis.☆64Updated 2 months ago
- ☆20Updated last month
- Large language modeling applied to T-cell receptor (TCR) sequences.☆52Updated 2 years ago
- Repository for Nicheformer: a foundation model for single-cell and spatial omics☆86Updated this week