Using mRNAsi to identify prognostic-related genes in endometrial carcinoma based on WGCNA-Reference-Cited by-同舟云学术

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Using mRNAsi to identify prognostic-related genes in endometrial carcinoma based on WGCNA

Published:2020-10 Issue: Volume:258 Page:118231
ISSN:0024-3205
Container-title:Life Sciences
language:en
Short-container-title:Life Sciences

Author:

Liu JinHui,Wu Zhipeng,Sun Rui,Nie SiPei,Meng HuangYang,Zhong Yi,Nie XiangLin,Cheng WenJun

Funder

National Natural Science Foundation of China

Jiangsu Province Medical Innovation Team

Publisher

Elsevier BV

Subject

General Pharmacology, Toxicology and Pharmaceutics,General Biochemistry, Genetics and Molecular Biology,General Medicine

Reference45 articles.

1. Cancer statistics, 2019;Siegel;CA Cancer J. Clin.,2019

2. Interobserver agreement in endometrial carcinoma histotype diagnosis varies depending on the cancer genome atlas (TCGA)-based molecular subgroup;Hoang;Am. J. Surg. Pathol.,2017

3. Integrated genomic characterization of endometrial carcinoma;Cancer Genome Atlas Research N;Nature,2013

4. Cancer stem cells: targeting the root of cancer relapse;Flemming;Nat. Rev. Drug Discov.,2015

5. Machine learning identifies stemness features associated with oncogenic dedifferentiation;Malta;Cell,2018

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