283 citations · 409 across the 7 of their papers we have counts for
7 papers
Causal models on probability spaces
Irineo Cabreros, John D. Storey
We describe the interface between measure theoretic probability and causal inference by constructing causal models on probability spaces within the potential outcomes framework. We…
Consistent Estimation of Low-Dimensional Latent Structure in High-Dimensional Data
Xiongzhi Chen, John D. Storey
We consider the problem of extracting a low-dimensional, linear latent variable structure from high-dimensional random variables. Specifically, we show that under mild conditions a…
Probabilistic models of genetic variation in structured populations applied to global human studies
Wei Hao, Minsun Song, John D. Storey
Modern population genetics studies typically involve genome-wide genotyping of individuals from a diverse network of ancestries. An important, unsolved problem is how to formulate…
Statistical significance of variables driving systematic variation
Neo Christopher Chung, John D. Storey
There are a number of well-established methods such as principal components analysis (PCA) for automatically capturing systematic variation due to latent variables in large-scale g…
Gene set bagging for estimating replicability of gene set analyses
Andrew E. Jaffe, John D. Storey, Hongkai Ji +1
Background: Significance analysis plays a major role in identifying and ranking genes, transcription factor binding sites, DNA methylation regions, and other high-throughput featur…
Identifying and Mapping Cell-type Specific Chromatin Programming of Gene Expression
Troels T. Marstrand, John D. Storey
A problem of substantial interest is to systematically map variation in chromatin structure to gene expression regulation across conditions, environments, or differentiated cell ty…
Functional Annotation of Genes in Saccharomyces cerevisiae based on Joint Betweenness
Frank Emmert-Streib, Lin Chen, John Storey
This paper has been withdrawn.