My
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. The non-invasive diagnosis of lymph-node status based
on gene expression profiles of primary breast cancer tumors.
Hawaii Med J 66:17-9, 2007.
Parker
MF, Mooradian GC, Okimoto GS, O’Connor DM, Miyazawa
K, Saggese SJ. Initial neural net construction for the detection
of cervical intraepithelial neoplasia by fluorescence imaging.
Am J Obstet Gynecol 187:398-402, 2002.
G.S.
Okimoto , M.F. Parker, G.C. Mooradian, S.J. Saggese, A. Grisanti,
D.M. O’Connor, and K. Miyazawa, 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, 2001.
