Yusuke Imoto
| Position | Associate Professor |
|---|---|
| Group name | Hiraoka Group |
| Research Field | Applied Mathematics |
| Awards | JSIAM Letters Best Paper Award (2020) MSJ Prize for Excellent Applied Mathematicians (2018) |
| ORCID | https://orcid.org/0000-0003-2574-4471 |
| Personal Website | https://ashbi.kyoto-u.ac.jp/y-imoto/en/ |
| Joined | Feb. 1, 2019 |
Research Overview
Detecting true single-cell structures via mathematical data analysis
Recently, data sampling techniques of genome data such as the single-cell RNA sequencing (scRNA-seq) have rapidly been developing. However, genome data is high-dimensional since the number of features (genes) is huge and has some technical noises when its data sampling. Those properties of genome data let conventional data analysis methods sometimes induce incorrect results. Therefore, this research aims to establish the mathematical basements of analyzing genome data via utilizing various mathematical fields such as the high-dimensional statistics, causal discovery, topological analysis, network theory, and dynamical system. Then, this research will contribute to discover the true structures in single-cell resolutions.
Biography
Yusuke Imoto obtained his PhD from Kyushu University (2016) and moved to Tohoku Forum for Creativity at Tohoku University (2016-2019) as an assistant professor. He was appointed Assistant Professor in 2019 and Associate Professor in 2022 in ASHBi of Kyoto University.
Publications
Y Imoto, T Nakamura, E G Escolar, M Yoshiwaki, Y Kojima, Y Yabuta, Y Katou, T Yamamoto, Y Hiraoka, M Saitou. Resolution of the curse of dimensionality in single-cell RNA sequencing data analysis. Life Science Alliance, Vol. 5 (12), e202201591, 2022.
Y Imoto. Difference between smoothed particle hydrodynamics and moving particle semi-implicit operators. Computer Methods in Applied Mechanics and Engineering, Vol. 395, 115012, 2022.
M Fujikawa, M Tanaka, N Mitsume and Y Imoto. Hyper-dual number-based numerical differentiation of eigensystems, Computer Methods in Applied Mechanics and Engineering, Vol. 390, 114452, 2022.
Y Imoto, N Yamanaka, T Uramoto, M Tanaka, M Fujikawa and N Mitsume. Fundamental theorem of matrix representations of hyper-dual numbers for computing higher-order derivatives, JSIAM Letters, Vol. 12, pp. 29–32, 2020.
Y Imoto. Truncation error estimates of approximate operators in a generalized particle method. Japan Journal of Industrial and Applied Mathematics, Vol. 37, pp. 565–598, 2020.