Related Experiment Video
Updated: Jun 17, 2026

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
Published on: October 3, 2025
Prior biological knowledge-based approaches for the analysis of genome-wide expression profiles using gene sets and
1Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA. mwu@hsph.harvard.edu
None:
An increasing challenge in analysis of microarray data is how to interpret and gain biological insight of profiles of thousands of genes. This article provides a review of statistical methods for analysis of microarray data by incorporating prior biological knowledge using gene sets and biological pathways, which consist of groups of biologically similar genes. We first discuss issues of individual gene analysis. We compare several methods for analysis of gene sets including over-representation anlaysis, gene set enrichment analysis, principal component analysis, global test and kernel machine. We discuss the assumptions of these methods and their pros and cons. We illustrate these methods by application to a type II diabetes data set.
Related Concept Videos
Genome Annotation and Assembly
Genomics
DNA Microarrays
Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...
Ribosome Profiling
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique helps...

