MaAsLin2: Microbiome Multivariate Association with Linear Models

Multiple hypothesis testing in Python

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

Large-scale Benchmarking of Microbial Multivariable Association Methods

Knockoff-based analysis of GWAS summary statistics data

Variable Selection with Knockoffs

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

Conformal Anomaly Detection

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.

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

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

NYU DS-GA 1020 Final Project

An empirical Bayes change point model for gene expression timecourse data.