Hiroshi Hatsuda, Ph.D.
[Qualifications]
Ph.D. (Computational Biology): Department of Computational Biology, Graduate School of Frontier Sciences, the University of Tokyo, Japan, 2011.
M.S. (Multidisciplinary Sciences): Department of Life Sciences, Graduate School of Arts and Sciences, the University of Tokyo, Japan, 2005.
B.A. (Liberal Arts): Department of Basic Science, Faculty of Arts and Sciences, the University of Tokyo, Japan, 2003.
[Publications (Peer-reviewed papers)]
Fagnocchi, L., Cherubini, A., Hatsuda, H., et al. (2016) A Myc-driven self-reinforcing regulatory network maintains mouse embryonic stem cell identity. Nature Communications (Impact factor: 12.0), vol. 7, 11903.
Hatsuda, H. (2012) Finding differentially expressed regions of arbitrary length in quantitative genomic data based on marked point process model. Bioinformatics (IF: 5.47), vol. 28, no. 18, pp. i633-i639. (Proceedings of the 11th European Conference on Computational Biology, Acceptance rate: 48/341 = 14%)
Hatsuda, H. (2012) Robust smoothing of quantitative genomic data using second-generation wavelets and bivariate shrinkage. IEEE Transactions on Biomedical Engineering (IF: 2.28), vol. 59, no. 8, pp. 2099-2102.
Funakoshi, M., Tsuda, M., Muramatsu, K., Hatsuda, H., Morishita, S., and Aigaki, T. (2011) A gain-of-function screen identifies wdb and lkb1 as lifespan-extending genes in Drosophila. Biochemical and Biophysical Research Communications, (IF: 2.48), vol. 405, no. 4, pp. 667-672.
Hatsuda, H. (2010) Automatic detection of morphologically distinct objects in biomedical images using second generation wavelets and multiple marked point process. Lecture Notes in Computer Science, vol. 6455, pp. 594-603. (Proceedings of the 6th International Symposium on Visual Computing)
Hatsuda, H. (2010) Automatic cell identification using a multiple marked point process. Proceedings of the 2010 International Conference on Bioinformatics and Computational Biology, pp. 605-609.
Hatsuda, H., Muramatsu, K., Aigaki, T., and Morishita, S. (2009) Robust and accurate recognition of veins in fruit fly wings. Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis, pp. 146-151.
[Research Interests]
Submodular optimization
Probabilistic graphical models
Cancer precision medicine and drug repurposing