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A tutorial review of mathematical techniques for quantifyin..:

Rebecca Everett ; Kevin B. Flores ; Nick Henscheid...
https://www.aimspress.com/article/doi/10.3934/mbe.2020207?viewType=HTML. , 2020

Link: https://doi.org/10.3934/mbe.2020207

RT Journal
T1 <Title>A tutorial review of mathematical techniques for quantifying tumor heterogeneity</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:5095fd63b949487b97e228db2d01e3e5&Exemplar=1&LAN=DE
				
A1 Rebecca Everett
A1 Kevin B. Flores
A1 Nick Henscheid
A1 John Lagergren
A1 Kamila Larripa
A1 Ding Li
A1 John T. Nardini
A1 Phuong T. T. Nguyen
A1 E. Bruce Pitman
A1 Erica M. Rutter
PB AIMS Press
YR 2020
K1 cancer heterogeneity
K1 mathematical oncology
K1 tumor growth
K1 glioblastoma multiforme
K1 virtual populations
K1 nonlinear mixed effects
K1 spatiotemporal data
K1 bayesian estimation
K1 generative adversarial networks
K1 non-parametric estimation
K1 variational autoencoders
K1 machine learning
K1 Biotechnology
K1 TP248.13-248.65
K1 Mathematics
K1 QA1-939
JF https://www.aimspress.com/article/doi/10.3934/mbe.2020207?viewType=HTML
LK http://dx.doi.org/https://doi.org/10.3934/mbe.2020207
DO https://doi.org/10.3934/mbe.2020207
SF ELIB - SuUB Bremen

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