A script and functions to group and validate MS Annika results.
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Updated
Jan 24, 2024 - Python
A script and functions to group and validate MS Annika results.
This project considers the use of p-value weighting to voxel-based lesion behavior mapping (VLSM) studies. Our methods are demonstrated on an aphasia study investigating which regions of the brain are associated with the severity of language impairment among stroke survivors.
This paper develops new methods to handle false positives in High-Throughput Screening experiments.
ML projects using R programming
False_Discovery_Rate Discovery Exploration
Reproducible experiments conducted in the paper 'Uncertainty Quantification in Anomaly Detection with Cross-Conformal p-Values'.
Review: Data-driven methodology for detecting treatment effect heterogeneity
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".
radjust: Replicability Adjusted p-values for Two Independent Studies with Multiple Endpoints
An empirical Bayes change point model for gene expression timecourse data.
NYU DS-GA 1020 Final Project
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
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.
Conformal anomaly detection wrapper for uncertainty-quantified 'PyOD' anomaly detectors.
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
This repository includes the scripts to replicate the results of my paper entitled "A False Discovery Rate Approach to Optimal Volatility Forecasting Model Selection".
Package for analyzing GWAS summary statistics data
Variable Selection with Knockoffs
Large-scale Benchmarking of Microbial Multivariable Association Methods
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