Publication: Computational disease modeling - fact or fiction?
Computational disease modeling - fact or fiction?
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Tegnér, J. N., Compte, A., Auffray, C., An, G., Cedersund, G., Clermont, G., Gutkin, B., Oltvai, Z., Stephan, K. E., Thomas, R., & Villoslada, P. (2009). Computational disease modeling - fact or fiction? BMC Systems Biology, 3, 56. https://doi.org/10.1186/1752-0509-3-56
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BACKGROUND: Biomedical research is changing due to the rapid accumulation of experimental data at an unprecedented scale, revealing increasing degrees of complexity of biological processes. Life Sciences are facing a transition from a descriptive to a mechanistic approach that reveals principles of cells, cellular networks, organs, and their interactions across several spatial and temporal scales. There are two conceptual traditions in biological computational-modeling. The bottom-up approach emphasizes complex intracellular molecular
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Tegnér, J. N., Compte, A., Auffray, C., An, G., Cedersund, G., Clermont, G., Gutkin, B., Oltvai, Z., Stephan, K. E., Thomas, R., & Villoslada, P. (2009). Computational disease modeling - fact or fiction? BMC Systems Biology, 3, 56. https://doi.org/10.1186/1752-0509-3-56