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.
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.
Statistical analysis of gene-disease associations using Fisher's Exact Test and Mondo Disease Ontology.
Correlation-based network analysis comparing CWL vs. BWL conditions with sign-flip permutation inference (paired design)
Reproducible Python pipeline for CNC tool-wear signal attribution using spindle-current telemetry, Dynamic Time Warping, bootstrap trend testing, FDR correction, and industrial time-series analysis.
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.
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