On optimization of FRAP experiments: Model-based sensitivity analysis approach

Štěpán Papáček; Stefan Kindermann

doi:10.1007/978-3-319-31744-1_49

On optimization of FRAP experiments: Model-based sensitivity analysis approach

Štěpán Papáček^*
, Stefan Kindermann

^*Corresponding author for this work

Industrial Mathematics Institute

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Original language	English
Title of host publication	Bioinformatics and Biomedical Engineering - 4th International Conference, IWBBIO 2016, Proceedings
Editors	Francisco Ortuno, Ignacio Rojas
Publisher	Springer Verlag
Pages	545-556
Number of pages	12
ISBN (Print)	9783319317434
DOIs	https://doi.org/10.1007/978-3-319-31744-1_49
Publication status	Published - 2016
Event	4th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2016 - Granada, Spain Duration: 20 Apr 2016 → 22 Apr 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9656
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	4th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2016
Country/Territory	Spain
City	Granada
Period	20.04.2016 → 22.04.2016

Fields of science

101 Mathematics
101020 Technical mathematics

JKU Focus areas

Digital Transformation

Access to Document

10.1007/978-3-319-31744-1_49

Cite this

Papáček, Š., & Kindermann, S. (2016). On optimization of FRAP experiments: Model-based sensitivity analysis approach. In F. Ortuno, & I. Rojas (Eds.), Bioinformatics and Biomedical Engineering - 4th International Conference, IWBBIO 2016, Proceedings (pp. 545-556). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9656). Springer Verlag. https://doi.org/10.1007/978-3-319-31744-1_49

Papáček, Štěpán ; Kindermann, Stefan. / On optimization of FRAP experiments : Model-based sensitivity analysis approach. Bioinformatics and Biomedical Engineering - 4th International Conference, IWBBIO 2016, Proceedings. editor / Francisco Ortuno ; Ignacio Rojas. Springer Verlag, 2016. pp. 545-556 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{31658a2a987144a8853f24d7dd33774e,

title = "On optimization of FRAP experiments: Model-based sensitivity analysis approach",

keywords = "FRAP, Optimal experimental design, Parameter estimation, Sensitivity analysis",

author = "{\v S}t{\v e}p{\'a}n Pap{\'a}{\v c}ek and Stefan Kindermann",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 4th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2016 ; Conference date: 20-04-2016 Through 22-04-2016",

year = "2016",

doi = "10.1007/978-3-319-31744-1\_49",

language = "English",

isbn = "9783319317434",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "545--556",

editor = "Francisco Ortuno and Ignacio Rojas",

booktitle = "Bioinformatics and Biomedical Engineering - 4th International Conference, IWBBIO 2016, Proceedings",

}

Papáček, Š & Kindermann, S 2016, On optimization of FRAP experiments: Model-based sensitivity analysis approach. in F Ortuno & I Rojas (eds), Bioinformatics and Biomedical Engineering - 4th International Conference, IWBBIO 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9656, Springer Verlag, pp. 545-556, 4th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2016, Granada, Spain, 20.04.2016. https://doi.org/10.1007/978-3-319-31744-1_49

On optimization of FRAP experiments: Model-based sensitivity analysis approach. / Papáček, Štěpán; Kindermann, Stefan.
Bioinformatics and Biomedical Engineering - 4th International Conference, IWBBIO 2016, Proceedings. ed. / Francisco Ortuno; Ignacio Rojas. Springer Verlag, 2016. p. 545-556 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9656).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

TY - GEN

T1 - On optimization of FRAP experiments

T2 - 4th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2016

AU - Papáček, Štěpán

AU - Kindermann, Stefan

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2016.

PY - 2016

Y1 - 2016

KW - FRAP

KW - Optimal experimental design

KW - Parameter estimation

KW - Sensitivity analysis

UR - https://www.scopus.com/pages/publications/84973911805

U2 - 10.1007/978-3-319-31744-1_49

DO - 10.1007/978-3-319-31744-1_49

M3 - Conference proceedings

AN - SCOPUS:84973911805

SN - 9783319317434

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 545

EP - 556

BT - Bioinformatics and Biomedical Engineering - 4th International Conference, IWBBIO 2016, Proceedings

A2 - Ortuno, Francisco

A2 - Rojas, Ignacio

PB - Springer Verlag

Y2 - 20 April 2016 through 22 April 2016

ER -

Papáček Š, Kindermann S. On optimization of FRAP experiments: Model-based sensitivity analysis approach. In Ortuno F, Rojas I, editors, Bioinformatics and Biomedical Engineering - 4th International Conference, IWBBIO 2016, Proceedings. Springer Verlag. 2016. p. 545-556. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-31744-1_49

On optimization of FRAP experiments: Model-based sensitivity analysis approach

Publication series

Conference

Fields of science

JKU Focus areas

Access to Document

Other files and links

Cite this