mims-harvard / PDGrapherLinks
Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks
☆100Updated 2 months ago
Alternatives and similar repositories for PDGrapher
Users that are interested in PDGrapher are comparing it to the libraries listed below
Sorting:
- BioDiscoveryAgent is an LLM-based AI agent for closed-loop design of genetic perturbation experiments☆92Updated 5 months ago
- Madrigal: Multimodal AI predicts clinical outcomes of drug combinations from preclinical data☆38Updated 4 months ago
- Sequential Optimal Experimental Design of Perturbation Screens Guided by Multimodal Priors☆42Updated last year
- Contextual AI models for single-cell protein biology☆96Updated 10 months ago
- Orthrus is a mature RNA model for RNA property prediction. It uses a mamba encoder backbone, a variant of state-space models specifical…☆85Updated 2 weeks ago
- ProCyon: A multimodal foundation model for protein phenotypes☆54Updated last month
- SPECTRA: Spectral framework for evaluation of biomedical AI models☆41Updated 9 months ago
- A repository for reproducing experiments from the TxPert paper☆24Updated 2 weeks ago
- AIDO.ModelGenerator is a software stack powering the development of an AI-driven Digital Organism (AIDO) by enabling researchers to adapt…☆100Updated 2 weeks ago
- KGWAS: novel genetics discovery enabled by massive functional genomics knowledge graph☆76Updated 9 months ago
- ☆76Updated last year
- ☆100Updated 3 months ago
- BulkFormer: A large-scale foundation model for human bulk transcriptomes☆35Updated 2 weeks ago
- ☆134Updated 8 months ago
- Collection of mRNA benchmarks☆45Updated last week
- A Python toolkit for setting up benchmarking dataset using biomedical networks☆22Updated 3 weeks ago
- Repository for mRNA Paper and CodonBERT publication.☆138Updated last year
- AI-Driven Digital Organism (AIDO) is a system of multiscale foundation models for predicting, simulating and programming biology at all l…☆136Updated 3 months ago
- Interpretation by Deep Generative Masking for Biological Sequences☆37Updated 4 years ago
- Library to extract embeddings for DNA sequences using BioFM genomics foundation model☆17Updated 4 months ago
- ☆47Updated 8 months ago
- Paper collection for single cell foundation models☆35Updated last year
- Biological Network Integration using Convolutions☆63Updated last year
- ☆30Updated 2 weeks ago
- ☆97Updated last month
- ☆124Updated last month
- Evaluation dataset for AI systems intended to benchmark capabilities foundational to scientific research in biology☆94Updated 3 months ago
- ☆29Updated last year
- Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.☆33Updated 5 months ago
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆135Updated 10 months ago