Python library to handle Gene Ontology (GO) terms
Multiple hypothesis testing in Python
Statistics for MINC volumes: A library to integrate voxel-based statistics for MINC volumes into the R environment. Supports getting and writing of MINC volumes, running voxel-wise linear models, correlations, etc.; correcting for multiple comparisons using the False Discovery Rate, and more. With contributions from Jason Lerch, Chris Hammill, J…
Clone of the Bioconductor repository for the onlineFDR package. See https://bioconductor.org/packages/devel/bioc/html/onlineFDR.html for the official development version, and https://dsrobertson.github.io/onlineFDR/ for easy access to documentation.
Best options to rotate defenders in Fantasy Premier League 2023-24
Adjust p-values for multiple comparisons
Knockoff-based analysis of GWAS summary statistics data
Variable Selection with Knockoffs
Package to help around crowdstrike/fdr data
Developed a machine learning model to identify fraudulent credit applications, with a Fraud Detection Rate of 56.12% at 3% of the population. The resulting model can be utilized in a credit card fraud detection system.
Generic enrichment analysis
Julia package for "FDR Control via Data Splitting for Testing-after-Clustering (arXiv: 2410.06451)"
Adjust supplied p-values for multiple comparisons via a specified method.
Iteratively randomly pooling scRNA-seq expressing a given gene from different numbers of cells and running DESeq2 with fdrtools correction to determine how many times which genes come out as enriched with said gene
Implementations of methods for online (sequential) multiple hypothesis testing.
How to run WRF3.8 in Azure Infrastructure using VM Scale Sets
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