A framework for systematic reviews and meta-analyses of high throughput gene expression datasets: A review on meta-analysis tools with no coding skills
Elham Amjad, Solmaz Asnaashari, Babak Sokouti
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ABSTRACT
The significant role of review studies carried out based
on systematic review and meta-analysis especially for randomized clinical
trials has been frequently met in the literature. In the current review, the
required steps and guides for performing a systematic review and meta-analysis
on publicly available gene expression omnibus (GEO) repository database are
pointed out. Some of the online available tools for performing this type of
meta-analysis are introduced and their various features have been demonstrated
and discussed. Finally, it has been
concluded that the knowledge of robust biomarker discovery in different types
of diseases among several species can benefit from systematically reviewing and
screening the curated gene expression datasets and meta-analysis approach.
Keywords: Systematic review; Meta-analysis; GEO dataset;
Online web tools; Gene expression.
ABSTRACT
The significant role of review studies carried out based
on systematic review and meta-analysis especially for randomized clinical
trials has been frequently met in the literature. In the current review, the
required steps and guides for performing a systematic review and meta-analysis
on publicly available gene expression omnibus (GEO) repository database are
pointed out. Some of the online available tools for performing this type of
meta-analysis are introduced and their various features have been demonstrated
and discussed. Finally, it has been
concluded that the knowledge of robust biomarker discovery in different types
of diseases among several species can benefit from systematically reviewing and
screening the curated gene expression datasets and meta-analysis approach.
Keywords: Systematic review; Meta-analysis; GEO dataset;
Online web tools; Gene expression.