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Normalizing for individual cell population context in the analysis of high-content cellular screens

High-content, high-throughput RNA interference (RNAi) offers unprecedented possibilities to elucidate gene function and involvement in biological processes. Microscopy based screening allows phenotypic observations at the level of individual cells. It was recently shown that a cell's population...

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Hauptverfasser: Knapp, Bettina (VerfasserIn) , Rebhan, Ilka (VerfasserIn) , Kumar, Anil (VerfasserIn) , Matula, Petr (VerfasserIn) , Kiani, Narsis (VerfasserIn) , Binder, Marco (VerfasserIn) , Erfle, Holger (VerfasserIn) , Rohr, Karl (VerfasserIn) , Eils, Roland (VerfasserIn) , Bartenschlager, Ralf (VerfasserIn) , Kaderali, Lars (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 20 December 2011
In: BMC bioinformatics
Year: 2011, Jahrgang: 12, Pages: 1-14
ISSN:1471-2105
DOI:10.1186/1471-2105-12-485
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1186/1471-2105-12-485
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Verfasserangaben:Bettina Knapp, Ilka Rebhan, Anil Kumar, Petr Matula, Narsis A. Kiani, Marco Binder, Holger Erfle, Karl Rohr, Roland Eils, Ralf Bartenschlager and Lars Kaderali
Beschreibung
Zusammenfassung:High-content, high-throughput RNA interference (RNAi) offers unprecedented possibilities to elucidate gene function and involvement in biological processes. Microscopy based screening allows phenotypic observations at the level of individual cells. It was recently shown that a cell's population context significantly influences results. However, standard analysis methods for cellular screens do not currently take individual cell data into account unless this is important for the phenotype of interest, i.e. when studying cell morphology.
Beschreibung:Gesehen am 26.09.2022
Beschreibung:Online Resource
ISSN:1471-2105
DOI:10.1186/1471-2105-12-485

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