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Individualised cancer metabolic models

November 2016
University of Costa Rica, San José, Costa Rica
#bioinformatics, #breast cancer, #cancer therapy, #diagnostics, #metabolism, #personalised medicine, #transcriptomics
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
Edwin Baez-Villalobos, R.A. Mora-Rodriguez

Edwin Baez-Villalobos et al. IEEE 36th Central American and Panama Convention (CONCAPAN) 2016 [1]   URL
EURL ECVAM [2]   URL
#732
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
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