other · Zenodo (CERN European Organization for Nuclear Research)
Two Python scripts are provided in this repository: rare.py: designed to predict SNPs associated with rare diseases. ultra_rare.py: designed to predict SNPs associated with ultra-rare diseases. Requirements To run the scripts, the following Python libraries are required: Script 1 (rare.py):pandas, numpy, scikit-learn, matplotlib, seaborn Script 2 (ultra_rare.py):pandas, numpy, scikit-learn, matplotlib, seaborn, tqdm, sentence-transformers Notes The input files containing positive SNPs and negative SNPs must be provided by the user. The feature variables used for model training should be adapted according to the disease under study.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.5281/zenodo.19953581
Is something wrong with this record? Report it or request removal.
Discussion
Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.
No discussion yet. Open the first thread.
New to MARATTO™? Create a free account.