Progressive permutation for a dynamic representation of the robustness of microbiome discoveries
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Updated
Jul 15, 2020 - R
Progressive permutation for a dynamic representation of the robustness of microbiome discoveries
R package MHTmult: Multiple Hypotheses Testing for Multiple Families Structure
This paper develops new methods to handle false positives in High-Throughput Screening experiments.
FDR-controlling multiple testing procedure with n screening stages for hypothesis with a family structure.
Exploring the utility of surface approximation using non-radial basis functions.
Python notebook on GtSt testing procedures on the LARS path. Code associated with the manuscript "Multiple Testing and Variable Selection along Least Angle Regression's path" (J.-M. Azaïs & Y. De Castro)
MSc Thesis dissertation, results (rendered HTML) in https://gmiliarakis.github.io
Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes
NYU DS-GA 1020 Final Project
POSSA: Power simulation for sequential analyses and multiple hypotheses.
🚩 Uncertainty-Quantified (Conformal) Anomaly Detection for PyOD.
Fixed Sequence Multiple Testing Procedures
A FDR controlling procedure based on hidden Markov random field (Biometrics-15 paper)
This repository contains a collection of functions to evaluate investment strategies regarding multiple testing concerns.
Repository for R and Python packages and reproduction codes in Weighted Conformalized Selection paper
Solutions of applied exercises contained in "An Introduction to Statistical Learning with Applications in Python", by Tibshirani et al, edition 2023
A Shiny app for graphical multiplicity control
The MultipleTesting package offers common algorithms for p-value adjustment and combination and more…
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