Conflicting biomedical assumptions for mathematical modeling: the case of cancer metastasis.
Computational models in biomedicine rely on biological and clinical assumptions. The selection of these assumptions contributes substantially to modeling success or failure. Assumptions used by experts at the cutting edge of research, however, are rarely explicitly described in scientific publicatio...
Main Authors: | Anna Divoli, Eneida A Mendonça, James A Evans, Andrey Rzhetsky |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2011-10-01
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Series: | PLoS Computational Biology |
Online Access: | http://europepmc.org/articles/PMC3188482?pdf=render |
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