SNP Dataset and Python Scripts for an In Silico Protocol for Rare Disease Studies

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Ali Aguerd, Badreddine Nouadi, Abdelkarim Ezaouine, Imad Fenjar, Faiza Bennis, Fatima Chegdani
DOI: 10.5281/zenodo.18789011
Cited by: 0

Abstract

This repository contains datasets and Python scripts supporting an in silico protocol for predicting genetic biomarkers in rare diseases. Files included in the ZIP file: 1,890-predicted-SNPs.tsv: contains all predicted SNPs along with their detailed information. Significant-SNPs.tsv: contains predicted significant SNPs with their detailed information. Project-script.py: Python script used to build the machine learning prediction model. 1.py and 2.py: Python scripts used for model validation. License: CC-BY 4.0

Fields of Study & Subjects

Genomics and Rare Diseases Genetic Associations and Epidemiology Artificial Intelligence in Healthcare

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
26 February 2026
Language
EN
Document type
Dataset