BoHuangLab/CELL-E_2
Multimodal encoder-only transformer model for image-based protein predictions
This project helps cellular biologists and drug discovery researchers understand how protein sequences translate into physical cell images, and vice-versa. You can input a protein sequence and get a predicted cell image showing its localization, or provide an image of a cell and identify the likely protein sequence. This is useful for scientists studying protein function or designing new proteins.
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Use this if you need to predict the visual appearance of a protein within a cell based on its amino acid sequence, or infer a protein sequence from a cellular image.
Not ideal if you're looking for a simple, off-the-shelf image analysis tool without needing to work with genetic or protein sequence data.
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15
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2
Language
Python
License
MIT
Category
Last pushed
Dec 12, 2023
Commits (30d)
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