Individualised cancer metabolic models
November 2016
University of Costa Rica, San José, Costa Rica
The study describes the development of a computational approach to predict cancer prognosis. The cancer-specific models are developed by combining existing general metabolic models with transcriptomic data. As a test, different expression datasets of breast cancer cell lines are used to generate 3 cancer-specific models and allow the description of specific metabolic signatures related to aspects of human breast cancer. This application can help in personalised cancer targets to improve cancer treatments.
A biocomputational application for the automated construction of large-scale metabolic models from transcriptomic data
R.A. Mora-Rodriguez, Edwin Baez-Villalobos
Edwin Baez-Villalobos et al. IEEE 36th Central American and Panama Convention (CONCAPAN) 2016 [1]
EURL ECVAM [2]
Added on: 07-29-2021
[1] https://ieeexplore.ieee.org/document/7942349[2] https://data.jrc.ec.europa.eu/dataset/ffebe454-ed9a-47cf-8a33-8cf70c1b7d38
