Single object profiles regression analysis (SOPRA): a novel method for analyzing high-content cell-based screens

Single object profiles regression analysis (SOPRA): a novel method for analyzing high-content cell-based screens

Abstract Background High-content screening (HCS) experiments generate complex data from multiple object features for each cell within a treated population. Usually, these data are analyzed by using population-averaged values of the features of interest, increasing the amount of false positives and t...

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Bibliographic Details
Main Authors: Rajendra Kumar Gurumurthy, Klaus-Peter Pleissner, Cindrilla Chumduri, Thomas F. Meyer, André P. Mäurer
Format: Article
Language:English
Published: BMC 2022-10-01
Series:BMC Bioinformatics
Subjects:
Image analysis
Cell-based assay
Loss-of-function screen
Drug screening
RNA interference analysis
Online Access:https://doi.org/10.1186/s12859-022-04981-8

Internet

https://doi.org/10.1186/s12859-022-04981-8

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