A machine learning model designed to predict the efficiency of guide RNA (gRNA) in gene editing workflows. It expands on the GNL scorer to optimize CRISPR-Cas9 target selection and experimental design.
Tech Stack
Jupyter NotebookBiology & Biotechnology
Why Gene-Editing-Guide-LM?
• High prediction accuracy
• Local data processing
• Extensible architecture
Limitations
• Requires Python knowledge
• No graphical interface
• Compute intensive
11/15/2025
Last Update
0
Forks
0
Issues
GPL-3.0
License
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