Meta-Analysis of Cervical Cancer Transcriptome with a Network Approach to Identify Key Genes in the Disease | Zendy

Parviz Sadeghi | Zendy; Amir Zarei | Zendy; Mehdi Sadeghi | Zendy

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Meta-Analysis of Cervical Cancer Transcriptome with a Network Approach to Identify Key Genes in the Disease

Author(s) -

Parviz Sadeghi,

Amir Zarei,

Mehdi Sadeghi

Publication year - 2019

Publication title -

qom univ med sci j

Language(s) - English

Resource type - Journals

eISSN - 2008-1375

pISSN - 1735-7799

DOI - 10.29252/qums.13.10.53

Subject(s) - transcriptome , key (lock) , disease , cervical cancer , gene , computational biology , cancer , biology , bioinformatics , genetics , medicine , gene expression , ecology

Received: 28 Oct, 2018 Accepted: 11 Dec, 2019 Abstract Background and Objectives: Cervical cancer is one of the most prevalent cancers among women. Accurate diagnosis and treatment of complex diseases require precise identification of molecular characteristics of the disease. Transcriptome profiles provide valuable information on gene expression of the studied cells. Applying metaanalysis approache along with network-based approaches provides precise and valuable information about studied data, which can be used in developing new diagnostic and therapeutic methods. The aim of this study was meta-analysis investigation of cervical cancer transcriptome using a network approach in order to identify key genes in the disease.

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