Last modified: 2018-09-04 10:00:00
There are two methods in biomedical science: One is the top-down approach based on statistics and the other is the bottom-up approach based on kinetics and mechanics. We like to combine both the approach to create a mathematical model with high predictability.
Time | Paper ID | Title / Authors | Keywords | Topic code | Ack. number |
---|---|---|---|---|---|
Hall FC, Day 3 | |||||
(13:00–14:00) (Chair: | |||||
FC313 | Application of biomedical big data to disease genomics | disease genomics epigenome data biomedical big data | SY-72 | 14 | |
FC315 | Identification of predictive biomarkers and therapeutic targets for precision medicines on the basis on exhaustive search from cancer omics data | omics bioinformatics diagnosis | SY-72 | 229 | |
(14:00–15:00) (Chair: | |||||
FC316 | Computational analysis of protein modification using statistical learning | protein bioinformatics machine learning modification | SY-72 | 918 | |
FC317 | Simulation analysis of diauxie phenomenon using a global scale metabolic network regulated by Petri net | Petri net global scale metabolic network diauxie shift | SY-72 | 12 | |
(15:00–15:40) (Chair: | |||||
FC319 | Effect of flux ratio control of central carbon metabolism on bio-production in Escherichia coli | Metabolic flux Escherichia coli NADPH | SY-72 | 476 | |
FC320 | In silico analysis of rate limiting step for growth coupled production | Flux balance analysis growth coupled production adaptive laboratory evolution | SY-72 | 213 | |
(15:40–16:20) (Chair: | |||||
FC321 | Development of the central metabolic model of Escherichia coli taking into account the effects of oxygen level and multiple carbon sources | kinetic model of central metabolism redox regulation metabolic regulation | SY-72 | 25 | |
FC322 | Effects of the return behavior and the intentional selection of incorrect answer on the odor learning of mice | odor learning olfactory processing learning efficiency | SY-72 | 391 |
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SCEJ 50th Autumn Meeting (Kagoshima, 2018)