Sammanfattning
The construction of large scale biological models is a laborious task, which is
often addressed by adopting iterative routines for model augmentation, adding
certain details to an initial high level abstraction of the biological phenomenon of
interest. However, refitting a model at every step of its development is time consuming
and computationally intensive. In this context, fit-preserving data refinement
brings about an effective alternative by providing adequate parameter values
that ensure fit preservation at every refinement step. We address here the implementation
of fit-preserving data refinement for a model of the ErbB signalling
pathway, which is extended to include four different types of receptor tyrosine
kinases, ErbB1-4, and two types of ligands, EGF and HRG. We build an extensive
model, which ensures a good fit by construction with notably less effort than what
a parameter estimation routine would require.
often addressed by adopting iterative routines for model augmentation, adding
certain details to an initial high level abstraction of the biological phenomenon of
interest. However, refitting a model at every step of its development is time consuming
and computationally intensive. In this context, fit-preserving data refinement
brings about an effective alternative by providing adequate parameter values
that ensure fit preservation at every refinement step. We address here the implementation
of fit-preserving data refinement for a model of the ErbB signalling
pathway, which is extended to include four different types of receptor tyrosine
kinases, ErbB1-4, and two types of ligands, EGF and HRG. We build an extensive
model, which ensures a good fit by construction with notably less effort than what
a parameter estimation routine would require.
Originalspråk | Engelska |
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Förlag | Turku Centre for Computer Science |
Antal sidor | 16 |
ISBN (tryckt) | ISBN 978-952-12-3582-5 |
Status | Publicerad - 2017 |
MoE-publikationstyp | D4 Publicerad utvecklings- eller forskningsrapport eller studie |
Publikationsserier
Namn | TUCS technical report |
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Nr. | 1187 |
ISSN (tryckt) | 1239-1891 |