%0 Journal Article
%T Guest Editorial¡ªSpecial Collection Topic: Statistical Systems Theory in Cancer Modeling, Diagnosis, and Therapy
%A Anne-Laure Boulesteix
%A Edward R Dougherty
%A Lori A Dalton
%A Michelle Zhang
%J Archive of "Cancer Informatics".
%D 2018
%R 10.1177/1176935118760944
%X Cancer is a systems disease involving mutations and altered regulation. This supplement treats cancer research as it pertains to 3 systems issues of an inherently statistical nature: regulatory modeling and information processing, diagnostic classification, and therapeutic intervention and control. Topics of interest include (but are not limited to) multiscale modeling, gene/protein transcriptional regulation, dynamical systems, pharmacokinetic/pharmacodynamic modeling, compensatory regulation, feedback, apoptotic and proliferative control, copy number-expression interaction, integration of different feature types, error estimation, and reproducibility. We are especially interested in how the above issues relate to the extremely high-dimensional data sets and small- to moderate-sized data sets typically involved in cancer research, for instance, their effect on statistical power, inference accuracy, and multiple comparisons
%U https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5843086/