Alexander V. Alekseyenko

The paper compares T-cell counts and spatial patterns in colorectal adenomas and sessile serrated lesions, finding differences in T-cell infiltration and clustering by lesion type.

SpaceANOVA analyzes spatial co-occurrence of cell types in multiplex imaging data across tissue or disease groups using point process and functional ANOVA, revealing novel insights in colorectal cancer precursor lesions.

The paper introduces phylogenetic novelty scores to weight genetic sequences based on their evolutionary novelty, improving accuracy in character frequency estimation and other applications.

The paper derives a simple approximation to bias in gene-environment interaction estimates when clinically diagnosed cases may include a nuisance pathologic state, and demonstrates its validity through simulations and an Alzheimer's disease study.

The paper introduces a robust multivariate analysis of variance method for microbiome data that accounts for heteroscedasticity and unbalanced sample sizes.

The paper derives a simple approximation to correct genetic effect estimates in case-control GWAS when multiple disease states share a clinical diagnosis and applies it to Alzheimer's disease.

The paper derives a theoretical approximation for bias in gene-environment interaction estimates in case-control studies with silent disease and validates it through simulations and a prostate cancer study.