Towards predictive stochastic dynamical modeling of cancer genesis and progression.
作者： P. Ao , D. Galas , L. Hood , L. Yin , X. M. Zhu
DOI: 10.1007/S12539-010-0072-3
关键词:
摘要: … , typical engineering modeling techniques, and the recent progresses in stochastic processes, we believe a feasible way for quantitative modeling of cancer genesis and progression is …
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