Document Detail


Comparison of Multivariate Data Analysis Strategies for High-Content Screening.
MedLine Citation:
PMID:  21335595     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
High-content screening (HCS) is increasingly used in biomedical research generating multivariate, single-cell data sets. Before scoring a treatment, the complex data sets are processed (e.g., normalized, reduced to a lower dimensionality) to help extract valuable information. However, there has been no published comparison of the performance of these methods. This study comparatively evaluates unbiased approaches to reduce dimensionality as well as to summarize cell populations. To evaluate these different data-processing strategies, the prediction accuracies and the Z' factors of control compounds of a HCS cell cycle data set were monitored. As expected, dimension reduction led to a lower degree of discrimination between control samples. A high degree of classification accuracy was achieved when the cell population was summarized on well level using percentile values. As a conclusion, the generic data analysis pipeline described here enables a systematic review of alternative strategies to analyze multiparametric results from biological systems.
Authors:
Anne Kümmel; Paul Selzer; Martin Beibel; Hanspeter Gubler; Christian N Parker; Daniela Gabriel
Related Documents :
11954725 - Evaluation of multifarious solid waste management systems--a goal programming approach.
24985615 - A new gaussian mctdh program: implementation and validation on the levels of the water ...
24291205 - Parametric model for the 3d reconstruction of individual fovea shape from oct data.
21871745 - An assessment of the repeatability of pubic and ischial measurements.
21769935 - The use of imputed values in the meta-analysis of genome-wide association studies.
15357875 - A method for detecting and correcting feature misidentification on expression microarrays.
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-2-18
Journal Detail:
Title:  Journal of biomolecular screening : the official journal of the Society for Biomolecular Screening     Volume:  -     ISSN:  1552-454X     ISO Abbreviation:  -     Publication Date:  2011 Feb 
Date Detail:
Created Date:  2011-2-21     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9612112     Medline TA:  J Biomol Screen     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Fostering community understanding of sufficient benefit and early stopping for a phase 2B HIV preven...
Next Document:  A high-throughput screen with isogenic PTEN+/+ and PTEN-/- cells identifies CID1340132 as a novel co...