Statistical analysis of gene-disease associations using Fisher's Exact Test and Mondo Disease Ontology.
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Updated
Jan 21, 2026 - Python
Statistical analysis of gene-disease associations using Fisher's Exact Test and Mondo Disease Ontology.
A metabolomics analysis pipeline investigating urinary biomarkers of Type 2 Diabetes Mellitus (T2DM) using NMR spectroscopy data. This project applies epidemiological and machine learning methods to identify metabolites that are significantly altered in T2DM patients compared to healthy controls.
A metabolomics analysis pipeline investigating urinary biomarkers of Type 2 Diabetes Mellitus (T2DM) using NMR spectroscopy data. This project applies epidemiological and machine learning methods to identify metabolites that are significantly altered in T2DM patients compared to healthy controls.
Correlation-based network analysis comparing CWL vs. BWL conditions with sign-flip permutation inference (paired design)
A Python script for testing over- and under-representation of Gene Ontology (GO) terms in a target gene set relative to a background set, using the hypergeometric test with Benjamini-Hochberg FDR correction.
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