Guest Editorial-Special Collection Topic: Statistical Systems Theory in Cancer Modeling, Diagnosis, and Therapy. Academic Article uri icon

abstract

  • 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.

published proceedings

  • Cancer Inform

author list (cited authors)

  • Dougherty, E. R., Boulesteix, A., Dalton, L. A., & Zhang, M.

citation count

  • 0

complete list of authors

  • Dougherty, Edward R||Boulesteix, Anne-Laure||Dalton, Lori A||Zhang, Michelle

publication date

  • January 2018