Systematic comparison of ranking aggregation methods for gene lists in experimental results.

ABSTRACT:

Motivation

A common experimental output in biomedical science is a list of genes implicated in a given biological process or disease. The gene lists resulting from a group of studies answering the same, or similar, questions can be combined by ranking aggregation methods to find a consensus or a more reliable answer. Evaluating a ranking aggregation method on a specific type of data before using it is required to support the reliability since the property of a dataset can influence the performance of an algorithm. Such evaluation on gene lists is usually based on a simulated database because of the lack of a known truth for real data. However, simulated datasets tend to be too small compared to experimental data and neglect key features, including heterogeneity of quality, relevanc

SUBMITTER: Wang B 

PROVIDER: S-EPMC9620830 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature