A consensus approach for estimating the predictive accuracy of dynamic models in biology.
about
Macroscopic modeling of mammalian cell growth and metabolismScalable Parameter Estimation for Genome-Scale Biochemical Reaction NetworksParameter identifiability analysis and visualization in large-scale kinetic models of biosystemsSYSTEMS BIOLOGY. Systems biology (un)certainties.Evaluation of new scientific information on Phyllosticta citricarpa in relation to the EFSA PLH Panel (2014) Scientific Opinion on the plant health risk to the EU
P2860
A consensus approach for estimating the predictive accuracy of dynamic models in biology.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年学术文章
@wuu
2015年学术文章
@zh-cn
2015年学术文章
@zh-hans
2015年学术文章
@zh-my
2015年学术文章
@zh-sg
2015年學術文章
@yue
2015年學術文章
@zh
2015年學術文章
@zh-hant
name
A consensus approach for estimating the predictive accuracy of dynamic models in biology.
@en
type
label
A consensus approach for estimating the predictive accuracy of dynamic models in biology.
@en
prefLabel
A consensus approach for estimating the predictive accuracy of dynamic models in biology.
@en
P2093
P1476
A consensus approach for estimating the predictive accuracy of dynamic models in biology.
@en
P2093
Dirk Müller
Joachim Schmid
Julio R Banga
Klaus Mauch
Sophia Bongard
P356
10.1016/J.CMPB.2015.02.001
P577
2015-02-11T00:00:00Z