Topological and biological assessment of gene networks using miRNA-target gene data
Küçük Resim Yok
Tarih
2019
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In recent years, different biological data sets obtained by the next generation sequencing techniques have enhanced the analysis of the underlying molecular interactions of diseases. In our study we apply ARNetMiT, C3NET, WGCNA and ARACNE algorithms on microRNA-Target gene datasets to infer gene coexpression networks of breast, prostate, colon and pancreatic cancers. Gene coexpression networks are evaluated according to their topological and biological features. WGCNA based gene coexpression networks fits to scale free network topology more than other gene coexpression networks. In biological assessment there is no obvious difference found between gene coexpression networks which derived from different algorithms. © 2019 IEEE.
Açıklama
2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019 -- 31 October 2019 through 2 November 2019 -- -- 156545
Anahtar Kelimeler
gene ontology terms, miRNA-Target genes, gene network inference algorithms, gene coexpression networks, scale free networks
Kaynak
Proceedings - 2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
