• Two-component empirical Bayes (EB) model tested

Electrophoretic Separations

Two-component empirical Bayes (EB) model tested

Nov 09 2011

Quantitative analysis processes have been used to test microarray data analysis processes.

In a study published by BMC Bioinformatics, a team from organisations in the US, implemented two-component empirical Bayes (EB) models for the differential analysis of two-dimensional polyacrylomide gel electrophoresis (2D gel, 2D PAGE, 2-DE) data.

The team noted in the report that EB models have been widely discussed for large-scale hypothesis testing and applied in the context of genomic data, but added that in the literature, the estimations of mixture density do not consider assumptions about null density.

"Thus, there is no guarantee that the estimated null component will be no greater than the mixture density as it should be," the report stated.

Following the investigation, the team determined that the two-component EB model is incredibly useful for large-scale hypothesis testing where it is often not appropriate for the use of theoretical null density.

"The estimation approach proposed can be applied to other contexts where large-scale hypothesis testing occurs," the report claimed.

 Posted by Fiona Griffiths


Digital Edition

Chromatography Today - Buyers' Guide 2022

October 2023

In This Edition Modern & Practical Applications - Accelerating ADC Development with Mass Spectrometry - Implementing High-Resolution Ion Mobility into Peptide Mapping Workflows Chromatogr...

View all digital editions

Events

EuCheMS Chemistry Congress

Jul 07 2024 Dublin, Ireland

HPLC 2024

Jul 20 2024 Denver, CO, USA

ICMGP 2024

Jul 21 2024 Cape Town, South Africa

ACS National Meeting - Fall 2024

Aug 18 2024 Denver, CO, USA

View all events