Multiple hypothesis testing in genomics
This paper presents an overview of the current state of the art in multiple testing in genomics
data from a user's perspective. We describe methods for familywise error control, false …
data from a user's perspective. We describe methods for familywise error control, false …
[HTML][HTML] The XIST lncRNA is a sex-specific reservoir of TLR7 ligands in SLE
JD Crawford, H Wang, D Trejo-Zambrano, R Cimbro… - JCI insight, 2023 - ncbi.nlm.nih.gov
Systemic lupus erythematosus (SLE) is a systemic autoimmune disease with a dramatic sex
bias, affecting 9 times more women than men. Activation of Toll-like receptor 7 (TLR7) by self …
bias, affecting 9 times more women than men. Activation of Toll-like receptor 7 (TLR7) by self …
Single marker and haplotype-based association analysis of semolina and pasta colour in elite durum wheat breeding lines using a high-density consensus map
A N'Diaye, JK Haile, AT Cory, FR Clarke, JM Clarke… - PLoS …, 2017 - journals.plos.org
Association map** is usually performed by testing the correlation between a single marker
and phenotypes. However, because patterns of variation within genomes are inherited as …
and phenotypes. However, because patterns of variation within genomes are inherited as …
Large-scale simultaneous inference with hypothesis testing: multiple testing procedures in practice
A statistical hypothesis test is one of the most eminent methods in statistics. Its pivotal role
comes from the wide range of practical problems it can be applied to and the sparsity of data …
comes from the wide range of practical problems it can be applied to and the sparsity of data …
Significance testing and genomic inflation factor using high‐density genotypes or whole‐genome sequence data
S van den Berg, J Vandenplas… - Journal of Animal …, 2019 - Wiley Online Library
Significance testing for genome‐wide association study (GWAS) with increasing SNP
density up to whole‐genome sequence data (WGS) is not straightforward, because of strong …
density up to whole‐genome sequence data (WGS) is not straightforward, because of strong …
[BOK][B] Elements of Data Science, Machine Learning, and Artificial Intelligence Using R
The digitalization of all areas of science, industry, and society has led to an unprecedented
flood of data. However, after the initial enthusiasm for the anticipated wealth of information …
flood of data. However, after the initial enthusiasm for the anticipated wealth of information …
[HTML][HTML] structSSI: simultaneous and selective inference for grouped or hierarchically structured data
The 𝖱 package structSSI provides an accessible implementation of two recently developed
simultaneous and selective inference techniques: the group Benjamini-Hochberg and …
simultaneous and selective inference techniques: the group Benjamini-Hochberg and …
How to analyze many contingency tables simultaneously in genetic association studies
We study exact tests for (2 x 2) and (2 x 3) contingency tables, in particular exact chi-squared
tests and exact tests of Fisher type. In practice, these tests are typically carried out without …
tests and exact tests of Fisher type. In practice, these tests are typically carried out without …
Randomized p-values for multiple testing of composite null hypotheses
T Dickhaus - Journal of Statistical Planning and Inference, 2013 - Elsevier
We are considered with the problem of m simultaneous statistical test problems with
composite null hypotheses. Usually, marginal p-values are computed under least favorable …
composite null hypotheses. Usually, marginal p-values are computed under least favorable …
Efficient calculation of the joint distribution of order statistics
J von Schroeder, T Dickhaus - Computational Statistics & Data Analysis, 2020 - Elsevier
The problem of computing the joint distribution of order statistics of stochastically
independent random variables in one-and two-group models is considered. While recursive …
independent random variables in one-and two-group models is considered. While recursive …