Results 21 to 30 of about 30,482 (307)

Identifying Causal Effects with the R Package causaleffect

open access: yesJournal of Statistical Software, 2017
Do-calculus is concerned with estimating the interventional distribution of an action from the observed joint probability distribution of the variables in a given causal structure.
Santtu Tikka, Juha Karvanen
doaj   +1 more source

Exploration of the intercellular heterogeneity of topotecan uptake into human breast cancer cells through compartmental modelling [PDF]

open access: yes, 2008
A mathematical multi-cell model for the in vitro kinetics of the anti-cancer agent topotecan (TPT) following administration into a culture medium containing a population of human breast cancer cells (MCF-7 cell line) is described.
Chappell, M. J. (Michael J.)   +11 more
core   +1 more source

Compartmental modelling of the pharmacokinetics of a breast cancer resistance protein [PDF]

open access: yes, 2011
A mathematical model for the pharmacokinetics of Hoechst 33342 following administration into a culture medium containing a population of transfected cells (HEK293 hBCRP) with a potent breast cancer resistance protein inhibitor, Fumitremorgin C (FTC ...
Jones, Kevin   +11 more
core   +1 more source

Illustrative presentation of some basic concepts of network internal reliability with comments as regards engineering surveys

open access: yesReports on Geodesy and Geoinformatics, 2016
The paper integrates some earlier and the recent findings of the author in the area of network internal reliability and presents a consistent system of concepts in this respect. The concepts of outlier detection and outlier identification linked directly
Prószyński Witold
doaj   +1 more source

Review: To be or not to be an identifiable model. Is this a relevant question in animal science modelling?

open access: yesAnimal, 2018
What is a good (useful) mathematical model in animal science? For models constructed for prediction purposes, the question of model adequacy (usefulness) has been traditionally tackled by statistical analysis applied to observed experimental data ...
R. Muñoz-Tamayo   +6 more
doaj   +1 more source

Identifying Identifying

open access: yes, 2022
Day 1 of my five-week experiment to elaborate on FAIR-enabling services, and I already find myself fallen flat on my face.
openaire   +1 more source

Hodgkin–Huxley revisited: reparametrization and identifiability analysis of the classic action potential model with approximate Bayesian methods [PDF]

open access: yesRoyal Society Open Science, 2015
As cardiac cell models become increasingly complex, a correspondingly complex ‘genealogy’ of inherited parameter values has also emerged. The result has been the loss of a direct link between model parameters and experimental data, limiting both ...
Aidan C. Daly   +3 more
doaj   +1 more source

Identifiability of mathematical models in medical biology

open access: yesВавиловский журнал генетики и селекции, 2016
Analysis of biological data is a key topic in bioinformatics, computational genomics, molecular modeling and systems biology. The methods covered in this article could reduce the cost of experiments for biological data.
S. I. Kabanikhin   +3 more
doaj   +1 more source

Anonymous and Non-anonymous User Behavior on Social Media: A Case Study of Jodel and Instagram [PDF]

open access: yesJournal of Information Science Theory and Practice, 2018
Anonymity plays an increasingly important role on social media. This is reflected by more and more applications enabling anonymous interactions. However, do social media users behave different when they are anonymous?
Kasakowskij, Regina   +3 more
doaj   +1 more source

Non-Linear Observer Design with Laguerre Polynomials

open access: yesEntropy, 2022
In this paper, a methodology for a non-linear system state estimation is demonstrated, exploiting the input and parameter observability. For this purpose, the initial system is transformed into the canonical observability form, and the function that ...
Maria Trigka, Elias Dritsas
doaj   +1 more source

Home - About - Disclaimer - Privacy