Gordon Okimoto

Joint analysis of multiple high-dimensional data types using sparse matrix approximations of rank-1 with applications to ovarian and liver cancer

Gordon Okimoto, Ashkan Zeinalzadeh, Tom Wenska, 2016, BioData Mining.

Measuring the Implications of the D-Basis in Analysis of Data in Biomedical Studies

Gordon Okimoto, James B. Nation, Kira V. Adaricheva, 2015, ICFCA.

Integrated analysis of multiple high-dimensional data sets by joint rank-1 matrix approximations

Gordon Okimoto, Ashkan Zeinalzadeh, Tom Wenska, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

A neural network model to classify liver cancer patients using data expansion and compression

Gordon Okimoto, Ashkan Zeinalzadeh, Tom Wenska, 2017, 2017 American Control Conference (ACC).

Elucidating the Landscape of Aberrant DNA Methylation in Hepatocellular Carcinoma

Gordon Okimoto, Maarit Tiirikainen, Sandi Kwee, 2013, PloS one.