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Gordon Okimoto
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2010 – 2019
- 2017
- [c3]Ashkan Zeinalzadeh, Tom Wenska, Gordon Okimoto:
A neural network model to classify liver cancer patients using data expansion and compression. ACC 2017: 2135-2139 - 2016
- [j1]Gordon Okimoto, Ashkan Zeinalzadeh, Tom Wenska, Michael Loomis, James B. Nation, Tiphaine Fabre, Maarit Tiirikainen, Brenda Hernandez, Owen Chan, Linda Wong, Sandi Kwee:
Joint analysis of multiple high-dimensional data types using sparse matrix approximations of rank-1 with applications to ovarian and liver cancer. BioData Min. 9: 24 (2016) - [i1]Ashkan Zeinalzadeh, Tom Wenska, Gordon Okimoto:
A Neural Network Model to Classify Liver Cancer Patients Using Data Expansion and Compression. CoRR abs/1611.07588 (2016) - 2015
- [c2]Ashkan Zeinalzadeh, Tom Wenska, Gordon Okimoto:
Integrated analysis of multiple high-dimensional data sets by joint rank-1 matrix approximations. CDC 2015: 3852-3857 - [c1]Kira V. Adaricheva, James B. Nation, Gordon Okimoto, Vyacheslav Adarichev, Adina Amanbekkyzy, Shuchismita Sarkar, Alibek Sailanbayev, Nazar Seidalin, Kenneth Alibek:
Measuring the Implications of the D-Basis in Analysis of Data in Biomedical Studies. ICFCA 2015: 39-57
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