MATLAB®-based fitting method to evaluate survival fractions after multimodal treatment

To easily analyse and visualize cell kill dynamics measured by survival fraction after single or combined treatments a MATLAB®-based application was developed. A statistical analysis with different options of visualisation of single and combined treatment effects can be performed in a few steps not...

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Autores principales: Marzec, Jolanta, Marzec, Lukasz, Martus, Peter, Zips, Daniel, Müller, Arndt-Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6008626/
https://www.ncbi.nlm.nih.gov/pubmed/29928704
http://dx.doi.org/10.1016/j.ctro.2018.03.003
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author Marzec, Jolanta
Marzec, Lukasz
Martus, Peter
Zips, Daniel
Müller, Arndt-Christian
author_facet Marzec, Jolanta
Marzec, Lukasz
Martus, Peter
Zips, Daniel
Müller, Arndt-Christian
author_sort Marzec, Jolanta
collection PubMed
description To easily analyse and visualize cell kill dynamics measured by survival fraction after single or combined treatments a MATLAB®-based application was developed. A statistical analysis with different options of visualisation of single and combined treatment effects can be performed in a few steps not requiring advanced knowledge of statistical programs.
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spelling pubmed-60086262018-06-20 MATLAB®-based fitting method to evaluate survival fractions after multimodal treatment Marzec, Jolanta Marzec, Lukasz Martus, Peter Zips, Daniel Müller, Arndt-Christian Clin Transl Radiat Oncol Article To easily analyse and visualize cell kill dynamics measured by survival fraction after single or combined treatments a MATLAB®-based application was developed. A statistical analysis with different options of visualisation of single and combined treatment effects can be performed in a few steps not requiring advanced knowledge of statistical programs. Elsevier 2018-03-29 /pmc/articles/PMC6008626/ /pubmed/29928704 http://dx.doi.org/10.1016/j.ctro.2018.03.003 Text en © 2018 The Authors. Published by Elsevier B.V. on behalf of European Society for Radiotherapy and Oncology. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Marzec, Jolanta
Marzec, Lukasz
Martus, Peter
Zips, Daniel
Müller, Arndt-Christian
MATLAB®-based fitting method to evaluate survival fractions after multimodal treatment
title MATLAB®-based fitting method to evaluate survival fractions after multimodal treatment
title_full MATLAB®-based fitting method to evaluate survival fractions after multimodal treatment
title_fullStr MATLAB®-based fitting method to evaluate survival fractions after multimodal treatment
title_full_unstemmed MATLAB®-based fitting method to evaluate survival fractions after multimodal treatment
title_short MATLAB®-based fitting method to evaluate survival fractions after multimodal treatment
title_sort matlab®-based fitting method to evaluate survival fractions after multimodal treatment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6008626/
https://www.ncbi.nlm.nih.gov/pubmed/29928704
http://dx.doi.org/10.1016/j.ctro.2018.03.003
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