Genetic co-expression networks contribute to creating predictive model and exploring novel biomarker...
Genetic co-expression networks contribute to creating predictive model and exploring novel biomarkers for the prognosis of breast cancer
About this item
Full title
Author / Creator
Li, Yuan-Kuei , Hsu, Huan-Ming , Lin, Meng-Chiung , Chang, Chi-Wen , Chu, Chi-Ming , Chang, Yu-Jia , Yu, Jyh-Cherng , Chen, Chien-Ting , Jian, Chen-En , Sun, Chien-An , Chen, Kang-Hua , Kuo, Ming-Hao , Cheng, Chia-Shiang , Chang, Ya-Ting , Wu, Yi-Syuan , Wu, Hao-Yi , Yang, Ya-Ting , Lin, Chen , Lin, Hung-Che , Hu, Je-Ming and Chang, Yu-Tien
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
Genetic co-expression network (GCN) analysis augments the understanding of breast cancer (BC). We aimed to propose GCN-based modeling for BC relapse-free survival (RFS) prediction and to discover novel biomarkers. We used GCN and Cox proportional hazard regression to create various prediction models using mRNA microarray of 920 tumors and conduct e...
Alternative Titles
Full title
Genetic co-expression networks contribute to creating predictive model and exploring novel biomarkers for the prognosis of breast cancer
Authors, Artists and Contributors
Author / Creator
Hsu, Huan-Ming
Lin, Meng-Chiung
Chang, Chi-Wen
Chu, Chi-Ming
Chang, Yu-Jia
Yu, Jyh-Cherng
Chen, Chien-Ting
Jian, Chen-En
Sun, Chien-An
Chen, Kang-Hua
Kuo, Ming-Hao
Cheng, Chia-Shiang
Chang, Ya-Ting
Wu, Yi-Syuan
Wu, Hao-Yi
Yang, Ya-Ting
Lin, Chen
Lin, Hung-Che
Hu, Je-Ming
Chang, Yu-Tien
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_2f9335fe875d41c9aca44e5deee283de
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2f9335fe875d41c9aca44e5deee283de
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-021-84995-z
