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Visualizing hematopoiesis as a stochastic process

delete2018-10-16
delete12
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OA
AI
J
Jason Xu
Y
Yiwen Wang
P
Peter Guttorp
J
Janis L. Abkowitz *
DOI:10.1182/bloodadvances.2018023705delete
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摘要

摘要

En 中文
Stochastic simulation has played an important role in understanding hematopoiesis, but implementing and interpreting mathematical models requires a strong statistical background, often preventing their use by many clinical and translational researchers. Here, we introduce a user-friendly graphical interface with capabilities for visualizing hematopoiesis as a stochastic process, applicable to a variety of mammal systems and experimental designs. Wedescribe the visualization tool and underlying mathematical model, and then use this to simulate serial transplantations in mice, human cord blood cell expansion, and clonal hematopoiesis of indeterminate potential. The outcomes of these virtual experiments challenge previous assumptions and provide examples of the flexible range of hypotheses easily testable via the visualization tool.
Keyword:
STEM-CELLS
IN-VIVO
2-COMPARTMENT MODEL
BAYESIAN-INFERENCE
TRANSPLANTATION
KINETICS
PROLIFERATION
EXHAUSTION
NUMBER
MOUSE

期刊

Blood Advances 封面图
Blood Advances
IF:
7.1
论文数:
6.1K
被引数:
2.3W

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Duke University
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被引数: 6.5W
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University of Washington
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被引数: 12.5W
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University of California System
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被引数: 6.6K
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university of california irvine
学者数:
2.3W
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被引数: 55
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引用论文

引用论文

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