Model-based extension of high-throughput to high-content data

• Verfasst von: Pfeifer, Andrea [VerfasserIn]
• Verfasst von: Kaschek, Daniel [VerfasserIn]
• Verfasst von: Bachmann, Julie [VerfasserIn]
• Verfasst von: Klingmüller, Ursula [VerfasserIn]
• Verfasst von: Timmer, Jens [VerfasserIn]
• Titel: Model-based extension of high-throughput to high-content data
• Verf.angabe: Andrea C. Pfeifer, Daniel Kaschek, Julie Bachmann, Ursula Klingmüller, Jens Timmer
• E-Jahr: 2010
• Jahr: 05 August 2010
• Umfang: 13 S.
• Fussnoten: Gesehen am 02.05.2023
• Titel Quelle: Enthalten in: BMC systems biology
• Ort Quelle: London : BioMed Central, 2007
• Jahr Quelle: 2010
• Band/Heft Quelle: 4(2010) vom: Aug., Artikel-ID 106, Seite 1-13
• ISSN Quelle: 1752-0509
• DOI: doi:10.1186/1752-0509-4-106
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Export Rate
• Sach-SW: Flow Cytometry Data
• Sach-SW: Fluorescence Recovery After Photobleaching
• Sach-SW: Free Variable
• Sach-SW: Nuclear Import
• K10plus-PPN: 1844097838

Abstract

High-quality quantitative data is a major limitation in systems biology. The experimental data used in systems biology can be assigned to one of the following categories: assays yielding average data of a cell population, high-content single cell measurements and high-throughput techniques generating single cell data for large cell populations. For modeling purposes, a combination of data from different categories is highly desirable in order to increase the number of observable species and processes and thereby maximize the identifiability of parameters.