Journal article

A Spatio-Temporal Model and Inference Tools for Longitudinal Count Data on Multicolor Cell Growth

PuXue Qiao, Christina Molck, Davide Ferrari, Frederic Hollande

INTERNATIONAL JOURNAL OF BIOSTATISTICS | WALTER DE GRUYTER GMBH | Published : 2018

Abstract

Multicolor cell spatio-temporal image data have become important to investigate organ development and regeneration, malignant growth or immune responses by tracking different cell types both in vivo and in vitro. Statistical modeling of image data from common longitudinal cell experiments poses significant challenges due to the presence of complex spatio-temporal interactions between different cell types and difficulties related to measurement of single cell trajectories. Current analysis methods focus mainly on univariate cases, often not considering the spatio-temporal effects affecting cell growth between different cell populations. In this paper, we propose a conditional spatial autoregr..

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University of Melbourne Researchers