MaAsLin2: Microbiome Multivariate Association with Linear Models

Multiple hypothesis testing in Python

Conformal Anomaly Detection

Conditional calibration of conformal p-values for outlier detection.

Benchmarking study of recent covariate-adjusted FDR methods

A workflow for metabolite identification and accurate profiling in multidimensional LC-IM-MS-DIA measurements. DOI: 10.5281/zenodo.

Report various statistics stemming from a confusion matrix in a tidy fashion. 🎯

Adjust p-values for multiple comparisons

Knockoff-based analysis of GWAS summary statistics data

Large-scale Benchmarking of Microbial Multivariable Association Methods

Variable Selection with Knockoffs

Reproducible experiments conducted in the paper 'Uncertainty Quantification in Anomaly Detection with Cross-Conformal p-Values'.

This repository includes the scripts to replicate the results of my paper entitled "A False Discovery Rate Approach to Optimal Volatility Forecasting Model Selection".

Large-scale Benchmarking of Microbial Multivariable Association Methods

The Julia package for estimating and testing a generalized linear mixed model with normal mixture random effects

A Python implementation of the "Controlling the False Discovery Rate via Knockoffs" paper from 2015, designed to provide tools for generating knockoff features and applying controlled variable selection techniques in high-dimensional data settings.

This repository includes the scripts to replicate results of my paper entitled "Technical analysis profitability and Persistence: A discrete false discovery approach on MSCI indices".

Review: Data-driven methodology for detecting treatment effect heterogeneity

radjust: Replicability Adjusted p-values for Two Independent Studies with Multiple Endpoints

This repository contains a small project where I study feasibility of using knockoff filters in portfolio management. More details are included in the Wiki page