Modelling gene expression profiles related to prostate tumor progression using binary states
Conclusions:
Results suggest that our methodology may be a valuable tool to study tumor malignancy progression, which might reveal novel cancer therapies.
Source: Theoretical Biology and Medical Modelling - Category: Biomedical Science Authors: Emmanuel MartinezVictor Trevino Source Type: research
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