Weighted gene co-expression network analysis reveals prognostic and diagnostic significance of PAQR4 in patients with early and late hepatocellular carcinoma | Zendy

Tianhang Feng | Zendy; Chunyou Lai | Zendy; Deyuan Zhong | Zendy; Le Luo | Zendy; Haibo Zou | Zendy; Guan Wang | Zendy; Qinyan Yang | Zendy; Yutong Yao | Zendy; Xiaolun Huang | Zendy

Open Access

Weighted gene co-expression network analysis reveals prognostic and diagnostic significance of PAQR4 in patients with early and late hepatocellular carcinoma

Author(s) -

Tianhang Feng,

Chunyou Lai,

Deyuan Zhong,

Le Luo,

Haibo Zou,

Guan Wang,

Qinyan Yang,

Yutong Yao,

Xiaolun Huang

Publication year - 2022

Publication title -

journal of gastrointestinal oncology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.084

H-Index - 39

eISSN - 2219-679X

pISSN - 2078-6891

DOI - 10.21037/jgo-22-168

Subject(s) - hepatocellular carcinoma , gene , medicine , polymerase chain reaction , gene expression , cancer research , reverse transcription polymerase chain reaction , real time polymerase chain reaction , cell cycle , bioinformatics , computational biology , oncology , biology , genetics

This study aimed to reveal novel markers for prognostic and diagnostic prediction of hepatocellular carcinoma (HCC).

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom

About

About Careers Publisher Partners Contact Us Our institutional solutions Get Organisational Trial or Quote

Learn

FAQs Blog Terms of Use Privacy Policy

Download the Zendy App

Discover

Explore

Home ZAIA Blog