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We model a population of cells using cellular automata with genetically-based rules. As in actual multicellular systems, each cell's state is based on environment and genetics. With imperfect reproduction and the accumulation of random mutations, tumorous behavior naturally emerges in a stochastic manner. We validate our model by reproducing results used to confirm other published models. We also demonstrate that our model exhibits both homeostatic and tumorous behavior using metrics based on clinical biopsy diagnosic techniques.