LinDA: linear models for differential abundance analysis of microbiome compositional data
Differential abundance analysis is at the core of statistical analysis of microbiome data. The
compositional nature of microbiome sequencing data makes false positive control …
compositional nature of microbiome sequencing data makes false positive control …
A powerful approach to identify replicable variants in genome-wide association studies
Replicability is the cornerstone of modern scientific research. Reliable identifications of
genotype-phenotype associations that are significant in multiple genome-wide association …
genotype-phenotype associations that are significant in multiple genome-wide association …
AMDP: an adaptive detection procedure for false discovery rate control in high-dimensional mediation analysis
J Ding, X Zhu - Advances in Neural Information Processing …, 2024 - proceedings.neurips.cc
High-dimensional mediation analysis is often associated with a multiple testing problem for
detecting significant mediators. Assessing the uncertainty of this detecting process via false …
detecting significant mediators. Assessing the uncertainty of this detecting process via false …
STAREG: Statistical replicability analysis of high throughput experiments with applications to spatial transcriptomic studies
Y Li, X Zhou, R Chen, X Zhang, H Cao - PLoS genetics, 2024 - journals.plos.org
Replicable signals from different yet conceptually related studies provide stronger scientific
evidence and more powerful inference. We introduce STAREG, a statistical method for …
evidence and more powerful inference. We introduce STAREG, a statistical method for …
STAREG: an empirical Bayesian approach to detect replicable spatially variable genes in spatial transcriptomic studies
Identifying replicable genes that display spatial expression patterns from different yet related
spatially resolved transcriptomic studies provides stronger scientific evidence and more …
spatially resolved transcriptomic studies provides stronger scientific evidence and more …
Two-component mixture model in the presence of covariates
In this article, we study a generalization of the two-groups model in the presence of
covariates—a problem that has recently received much attention in the statistical literature …
covariates—a problem that has recently received much attention in the statistical literature …
Statistical analysis of spatially resolved transcriptomic data by incorporating multiomics auxiliary information
Effective control of false discovery rate is key for multiplicity problems. Here, we consider
incorporating informative covariates from external datasets in the multiple testing procedure …
incorporating informative covariates from external datasets in the multiple testing procedure …
[PDF][PDF] E-values, multiple testing and beyond
We discover a connection between the Benjamini-Hochberg (BH) procedure and the
recently proposed e-BH procedure Wang and Ramdas [2022] with a suitably defined set of e …
recently proposed e-BH procedure Wang and Ramdas [2022] with a suitably defined set of e …
Large-scale Multiple Testing: Fundamental Limits of False Discovery Rate Control and Compound Oracle
The false discovery rate (FDR) and the false non-discovery rate (FNR), defined as the
expected false discovery proportion (FDP) and the false non-discovery proportion (FNP), are …
expected false discovery proportion (FDP) and the false non-discovery proportion (FNP), are …