Modeling megakaryocyte development as a branching process

T. M. Therneau; L. A. Solberg; R. B. Jenkins

doi:10.1016/0898-1221(89)90014-X

Modeling megakaryocyte development as a branching process

T. M. Therneau, L. A. Solberg, R. B. Jenkins

Research output: Contribution to journal › Article › peer-review

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Abstract

We have developed a computational method for directly fitting a stochastic branching model to colony growth data, which was then used to model development of colonies from human megakaryocytic stem cells. The overall fit is as good as indirect methods, such as the frequently used gamma function, but with far more interpretable parameters. The method is easily extended to more complex systems.

Original language	English (US)
Pages (from-to)	959-964
Number of pages	6
Journal	Computers and Mathematics with Applications
Volume	18
Issue number	10-11
DOIs	https://doi.org/10.1016/0898-1221(89)90014-X
State	Published - 1989

ASJC Scopus subject areas

Modeling and Simulation
Computational Theory and Mathematics
Computational Mathematics

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10.1016/0898-1221(89)90014-X

Cite this

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title = "Modeling megakaryocyte development as a branching process",

abstract = "We have developed a computational method for directly fitting a stochastic branching model to colony growth data, which was then used to model development of colonies from human megakaryocytic stem cells. The overall fit is as good as indirect methods, such as the frequently used gamma function, but with far more interpretable parameters. The method is easily extended to more complex systems.",

author = "Therneau, {T. M.} and Solberg, {L. A.} and Jenkins, {R. B.}",

year = "1989",

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AU - Therneau, T. M.

AU - Solberg, L. A.

AU - Jenkins, R. B.

PY - 1989

Y1 - 1989

N2 - We have developed a computational method for directly fitting a stochastic branching model to colony growth data, which was then used to model development of colonies from human megakaryocytic stem cells. The overall fit is as good as indirect methods, such as the frequently used gamma function, but with far more interpretable parameters. The method is easily extended to more complex systems.

AB - We have developed a computational method for directly fitting a stochastic branching model to colony growth data, which was then used to model development of colonies from human megakaryocytic stem cells. The overall fit is as good as indirect methods, such as the frequently used gamma function, but with far more interpretable parameters. The method is easily extended to more complex systems.

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U2 - 10.1016/0898-1221(89)90014-X

DO - 10.1016/0898-1221(89)90014-X

M3 - Article

AN - SCOPUS:0024890674

SN - 0898-1221

VL - 18

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EP - 964

JO - Computers and Mathematics with Applications

JF - Computers and Mathematics with Applications

IS - 10-11

ER -

Modeling megakaryocyte development as a branching process

Abstract

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