helicalAI/helical
A framework for state-of-the-art pre-trained bio foundation models on genomics and transcriptomics modalities.
This project helps biological researchers and computational biologists accelerate their work by providing access to powerful AI models. You can input genomic, transcriptomic, or single-cell data, and it will output insights like cell and gene embeddings, or predictions for drug perturbations. It's designed for scientists who want to leverage advanced AI for biological discovery without needing to build complex models from scratch.
195 stars. Available on PyPI.
Use this if you are a researcher working with genomics, transcriptomics, or single-cell data and want to apply state-of-the-art AI models for tasks like gene expression analysis or drug perturbation predictions.
Not ideal if you do not work with biological sequence data or prefer to build all your machine learning models from first principles.
Stars
195
Forks
34
Language
Python
License
AGPL-3.0
Category
Last pushed
Mar 10, 2026
Commits (30d)
0
Dependencies
22
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