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个人简介
My training and experience in many areas of applied mathematics enable me to identify patterns and features in high-dimensional data sets that form the basis for predictive models of cancer that also shed light on the underlying biological mechanisms that are at play. I have over two decades of experience working in the defense industry solving problems in the areas of ballistic missile defense, anti-submarine warfare, and mine detection using mathematical techniques from harmonic analysis, linear algebra, signal processing, statistical pattern recognition, and machine learning. My research in private industry was funded as a Principal Investigator on Phase I and II SBIRs from the Air Force with additional funding from the Office of Naval Research (ONR). During this time I developed a novel set of features based on eigen-compression in the wavelet domain that was used to detect objects in acoustic backscatter data, laser radar images, and hyperspectral data cubes using neural networks. My focus shifted in 2000 from defense to biomedical research when I realized that many of the techniques that I developed for my defense-related work were directly applicable to cancer research due to the sequencing of the human genome. Currently, my research at the University of Hawaii Cancer Center is supported by an NCI R01. This research has resulted in novel approaches to extracting quantitative features (i.e., signatures) from multiple, high-dimensional data sets in an integrative manner to better predict the clinical trajectory of cancer and to accelerate the discovery of new therapeutic targets. In particular, the integrative analysis of whole-genome expression and PET imaging data suggest that the genomic activity of a liver tumor can interrogated non-invasively over time using molecular imaging to better predict clinical outcome and response to treatment. Moreover, the joint analysis of mRNA, microRNA and DNA methylation from 291 ovarian tumors downloaded from The Cancer Genome Atlas (TCGA) using sparse rank-one matrix approximations resulted in a gene signatures that linked response to chemotherapy, immune checkpoint signaling, and overall survival.
研究兴趣
论文共 27 篇作者统计合作学者相似作者
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Emory Zitello, Michael Vo,Shaoqiu Chen,Scott Bowler,Vedbar Khadka, Thomas Wenska,Peter Hoffmann,Gordon Okimoto,Youping Deng
bioRxiv (Cold Spring Harbor Laboratory) (2021)
semanticscholar(2018)
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Gordon Okimoto,Ashkan Zeinalzadeh, Tom Wenska,Michael Loomis,James B. Nation, Tiphaine Fabre,Maarit Tiirikainen,Brenda Hernandez,Owen Chan,Linda Wong,Sandi Kwee
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