RESULTS

Mathematical linkage analysis of transcriptome and metabolome in cancer stem cell (Scientific Reports, 2016)
The bioinformatics and computational modeling are expected to offer innovative approaches in human medical science.  In collaboration with the Department of Surgery, Osaka University (Profs. Yuichiro Doki and Masaki Mori), as well as the  Faculty of Mathematics, Kyushu University  (As. Prof. Hidetoshi Matsui),  Koseki et al. reported  the computational analysis and prediction of transcriptome and metabolome datasets, which were identified from fluorescent-based visualized system of chemo-resistant cancer stem cells in human esophagus. The present study fastens the further rational to innovative drug discovery against robust cancer stem cells.