Identification of Key Genes Involved in Polycystic Ovary Syndrome in Obese Patients: A Bioinformatics Study

Author:

Kaur Manpreet1,Dahiya Neha1,Sharma Avinash2,Singh Varsha1ORCID,Gupta Rupesh3

Affiliation:

1. Centre for Life Sciences, Chitkara School of Health Sciences, Chitkara University,Rajpura,India

2. MM Engg college, Maharishi Markandeshwar (Deemed to be University),Department of CSE,Mullana,Haryana,India

3. Chitkara University Institute of Engineering and Technology, Chitkara University,Rajpura,India

Publisher

IEEE

Reference21 articles.

1. The molecular characteristics of polycystic ovary syndrome (PCOS) ovary defined by human ovary cDNA microarray

2. The Molecular Phenotype of Polycystic Ovary Syndrome (PCOS) Theca Cells and New Candidate PCOS Genes Defined by Microarray Analysis

3. STRING v9. 1: protein-protein interaction networks, with increased coverage and integration;franceschini;Nucleic acids Resvo129 4,2012

4. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data”Med;zhang;Oncol,2017

5. PCOS and obesity: insulin resistance might be a common etiology for the development of type I endometrial carcinoma”Am;li;J Cancer Res,2014

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