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A Framework For Systematic Reviews And Meta-Analyses Of High Throughput Gene Expression Datasets: A Review On Meta-Analysis Tools With No Coding SkillsA Framework For Systematic Reviews And Meta-Analyses Of High Throughput Gene Expression Datasets: A Review On Meta-Analysis Tools With No Coding Skills
Author(s):
1. ELHAM AMJAD: Biotechnology Research Center, Tabriz University of Medical Sciences,Tabriz,Iran
2. SOLMAZ ASNAASHARI: Biotechnology Research Center, Tabriz University of Medical Sciences,Tabriz,Iran
3. BABAK SOKOUTI: Biotechnology Research Center, Tabriz University of Medical Sciences,Tabriz,Iran
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 metaanalysis 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.
Page(s): 836-839
DOI: DOI not available
Published: Journal: Pakistan Journal of Medical and Health Sciences, Volume: 14, Issue: 2, Year: 2020
Keywords:
Systematic review , Metaanalysis , Gene expression , GEO dataset , Online web tools
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