Resampling adjusted likelihood and average estimate approaches for microarray data analysis
Year: 2025
Type: article
Abstract: The burgeoning field of genomics has reinvigorated interest in multiple-testing methods as it introduces new methodological and computational challenges. Whole genome microarray studies (e.g., differential expression, differential methylation, ChIP-chip) offer the possibility to test millions of traits in one genome. This article discusses the preterment of Adjusted likelihood approach and Average estimate approach (see Ewhida, Alammari and Ihwil, 2022; Jiang and Doerge, 2008) for estimating the proportion of true nulls π0 for CHIP-on-chip experiment data. Which has been done by Elnfati, Iles and Miller 2016, to express where the protein and DNA are bound, and the sample was taken from Drosophila fly (Fruit flies) in three replicates to determine the effect of HISTONE protein on fetus growth. The study demonstrates that, the Adjusted likelihood approach estimator performs very well.
Authors: Adel Ewhida, Iman Ihwil
Institution: University of Tripoli
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: hybrid
OpenAlex ID: W7202029065