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.
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.
Marketing A/B testing and causal inference pipeline in Python. Evaluates conversion lift across 588K users with SRM verification, Wilson confidence intervals, and FDR multiple-testing correction.
Correlation-based network analysis comparing CWL vs. BWL conditions with sign-flip permutation inference (paired design)
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.
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