Abstract
In this work we propose regularised bi-level constraint-based modelling to determine the fluxomic profiles for four different influenza viruses, H7N9, H7M7, H3N2 and H5N1. We report here the first step of the analysis of the flux data using
AutoSOME clustering, where we identify novel biomarkers of infection. This is a work in progress that can directly lead to novel therapeutic targets.
AutoSOME clustering, where we identify novel biomarkers of infection. This is a work in progress that can directly lead to novel therapeutic targets.
Original language | English |
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Publication status | Accepted/In press - 16 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 |
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Country/Territory | United States |
Period | 31/07/18 → 3/08/18 |
Internet address |