Reviewing and assessing existing meta-analysis models and tools.

ABSTRACT: Over the past few years, meta-analysis has become popular among biomedical researchers for detecting biomarkers across multiple cohort studies with increased predictive power. Combining datasets from different sources increases sample size, thus overcoming the issue related to limited sample size from each individual study and boosting the predictive power. This leads to an increased likelihood of more accurately predicting differentially expressed genes/proteins or significant biomarkers underlying the biological condition of interest. Currently, several meta-analysis methods and tools exist, each having its own strengths and limitations. In this paper, we survey existing meta-analysis methods, and assess the performance of different methods based on results from different datasets as wel

SUBMITTER: Makinde FL 

PROVIDER: S-EPMC8575034 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature