A random walk model of oligodendrocyte generation in vitro and associated estimation problems

被引:14
作者
von Collani, E
Tsodikov, A
Yakovlev, A
Mayer-Proschel, M
Noble, M
机构
[1] Univ Utah, Huntsman Canc Inst, Dept Oncol Sci, Salt Lake City, UT 84108 USA
[2] Univ Wurzburg, D-97070 Wurzburg, Germany
关键词
brain cell differentiation; non-parametric estimation; EM algorithm; partial likelihood; age-dependent branching process;
D O I
10.1016/S0025-5564(99)00017-6
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
A branching stochastic process proposed earlier to model oligodendrocyte generation by O-2A progenitor cells under in vitro conditions does not allow invoking the maximum likelihood techniques for estimation purposes. To overcome this difficulty, we propose a partial likelihood function based on an embedded random walk model of clonal growth and differentiation of O-2A progenitor cells. Under certain conditions, the partial likelihood function yields consistent estimates of model parameters. The usefulness of this approach is illustrated with computer simulations and data analyses. (C) 1999 Elsevier Science Inc. All rights reserved.
引用
收藏
页码:189 / 204
页数:16
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