works on

From the 1 of 5 linked papers with an AI index.

activity
20242026
most citedA robust, scalable K-statistic for quantifying immune cell clustering in spatial proteomics data

2 citations · 2 across the 1 of their papers we have counts for

collaborators

5 papers

stat.ME20262 cited

A robust, scalable K-statistic for quantifying immune cell clustering in spatial proteomics data

Julia Wrobel, Hoseung Song

The paper introduces KAMP, a method that adjusts Ripley's K statistic for spatial inhomogeneity in single‑cell proteomics data, providing robust clustering and colocalization measu…

cs.DL2026

Overcoming Barriers to Computational Reproducibility

Roman Hornung, László Németh, Oleksandr Zadorozhny +13

Computational reproducibility, the possibility for independent researchers to exactly reproduce published empirical results, is fundamental to science. Despite its importance, the…

stat.CO2025

SCoRES: An R Package for Simultaneous Confidence Region Estimates

Zhuoran Yu, Armin Schwartzman, Junting Ren +1

The identification of domain sets whose outcomes belong to predefined subsets can address fundamental risk assessment challenges in climatology and medicine. Existing approaches fo…

stat.ML2025

Identifying Neural Signatures from fMRI using Hybrid Principal Components Regression

Jared Rieck, Julia Wrobel, Joshua L. Gowin +3

Recent advances in neuroimaging analysis have enabled accurate decoding of mental state from brain activation patterns during functional magnetic resonance imaging scans. A commonl…

stat.ME2024

Generalized Conditional Functional Principal Component Analysis

Yu Lu, Xinkai Zhou, Erjia Cui +4

We propose generalized conditional functional principal components analysis (GC-FPCA) for the joint modeling of the fixed and random effects of non-Gaussian functional outcomes. Th…