Integrated computational extraction of cross-cancer poly-omic signatures

Guido Zampieri, Claudio Angione

    Research output: Contribution to conferencePaperpeer-review

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    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.
    Original languageEnglish
    Publication statusAccepted/In press - 19 May 2018
    EventIWBDA 2018: 10th International Workshop on Bio-Design Automation - Berkeley, CA, United States
    Duration: 31 Jul 20183 Aug 2018


    ConferenceIWBDA 2018
    Country/TerritoryUnited States
    Internet address


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