Gordon S. Okimoto, PhD

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Associate Member, Population Sciences in the Pacific Program (Cancer Epidemiology), University of Hawaiʻi Cancer Center

Academic Appointment(s):
Specialist (Professor), University of Hawaiʻi Cancer Center, University of Hawaiʻi at Mānoa

Degree(s):
PhD, Bioinformatics, University of Hawaiʻi at Mānoa

Research Focus

Dr. Okimoto's research interests include the mathematical modeling of complex diseases such as cancer using interacting networks of genes and proteins. Specific areas of interest include the molecular diagnosis of cancer, molecular prediction of clinical outcomes in cancer, molecular subtyping of cancer, whole-genome detection of genes and pathways that modulate cancer progression using DNA microarrays, and the systems biology of cancer involving the fusion of multiple genomic data types for the enhanced modeling of cancer as a complex dynamical system.

Selected Publications

Okimoto GS. (2007). The non-invasive diagnosis of lymph-node status based on gene expression profiles of primary breast cancer tumors. Hawaii Med J 66:17-9.

Parker MF, Mooradian GC, Okimoto GS, O'Connor DM, Miyazawa K, Saggese SJ. (2002). Initial neural net construction for the detection of cervical intraepithelial neoplasia by fluorescence imaging. Am J Obstet Gynecol 187:398-402, 2002.

Okimoto GS, Parker MF, Mooradian GC, Saggese SJ, Grisanti A, O'Connor DM, Miyazawa K. (2001). New features for detecting cervical pre-cancer using hyperspectral diagnostic imaging. Clinical Diagnostic Systems, G. E. Cohn, J. N. Herron, J. F. Leary, R. M. Levenson, R. B. Thompson, and X. N. Xu, Editors, Vol. 4255 of Proceedings of SPIE, May.

Publication list via PubMed