Abstract
Understanding the interplay between metabolism and genetic regulation is considered key to shed light on the mechanisms underlying cancer onset and progression. In this
work, we reconstruct a number of tumor-specific genome-scale metabolic models and inspect estimated flux profiles via statistical analysis, characterizing the detailed metabolic
response associated to altered regulation in various tissues. We thus demonstrate that combining complementary computational techniques it is possible to identify polyomic
differences and commonalities across cancer types.
work, we reconstruct a number of tumor-specific genome-scale metabolic models and inspect estimated flux profiles via statistical analysis, characterizing the detailed metabolic
response associated to altered regulation in various tissues. We thus demonstrate that combining complementary computational techniques it is possible to identify polyomic
differences and commonalities across cancer types.
| Original language | English |
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| Publication status | Accepted/In press - 19 May 2018 |
| Event | IWBDA 2018: 10th International Workshop on Bio-Design Automation - Berkeley, CA, United States Duration: 31 Jul 2018 → 3 Aug 2018 http://www.iwbdaconf.org/2018/ |
Conference
| Conference | IWBDA 2018 |
|---|---|
| Country/Territory | United States |
| Period | 31/07/18 → 3/08/18 |
| Internet address |