Cover Image

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Knapp, Bettina (Author) , Rebhan, Ilka (Author) , Kumar, Anil (Author) , Matula, Petr (Author) , Kiani, Narsis (Author) , Binder, Marco (Author) , Erfle, Holger (Author) , Rohr, Karl (Author) , Eils, Roland (Author) , Bartenschlager, Ralf (Author) , Kaderali, Lars (Author)
Format: Article (Journal)
Language:English
Published: 20 December 2011
In: BMC bioinformatics
Year: 2011, Volume: 12, Pages: 1-14
ISSN:1471-2105
DOI:10.1186/1471-2105-12-485
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1186/1471-2105-12-485
Get full text
Author Notes:Bettina Knapp, Ilka Rebhan, Anil Kumar, Petr Matula, Narsis A. Kiani, Marco Binder, Holger Erfle, Karl Rohr, Roland Eils, Ralf Bartenschlager and Lars Kaderali
Description
Summary: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.
Item Description:Gesehen am 26.09.2022
Physical Description:Online Resource
ISSN:1471-2105
DOI:10.1186/1471-2105-12-485

Similar Items