MaAsLin2: Microbiome Multivariate Association with Linear Models
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Updated
Jul 15, 2024 - R
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".
The Julia package for estimating and testing a generalized linear mixed model with normal mixture random effects
Large-scale Benchmarking of Microbial Multivariable Association Methods
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.
🚩 Uncertainty-Quantified (Conformal) Anomaly Detection for PyOD.
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
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
radjust: Replicability Adjusted p-values for Two Independent Studies with Multiple Endpoints
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