Integrated miRNA-mRNA Expression Profiles Revealing Key Molecules in Ovarian Cancer Based on Bioinformatics Analysis
Ovarian cancer is one of the leading causes of gynecological malignancy-related deaths. The underlying molecular development mechanism has however not been elucidated. In this study, we used bioinformatics to reveal critical molecular and biological processes associated with ovarian cancer. The micr...
Guardado en:
Autores principales: | Chao Li, Zhantong Hong, Miaoling Ou, Xiaodan Zhu, Linghua Zhang, Xingkun Yang |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Hindawi Limited
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/e02161b5f763439a8b4aafac8858bb9b |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Construction and Bioinformatics Analysis of the miRNA-mRNA Regulatory Network in Diabetic Nephropathy
por: Yameng Li, et al.
Publicado: (2021) -
Identification of keygenes, miRNAs and miRNA-mRNA regulatory pathways for chemotherapy resistance in ovarian cancer
por: Wenwen Wang, et al.
Publicado: (2021) -
Identification of the circRNA-miRNA-mRNA Regulatory Network in Bladder Cancer by Bioinformatics Analysis
por: Jiancheng Lv, et al.
Publicado: (2021) -
Identification of key genes, pathways and miRNA/mRNA regulatory networks of CUMS-induced depression in nucleus accumbens by integrated bioinformatics analysis
por: Ma K, et al.
Publicado: (2019) -
Quantification of miRNA-mRNA interactions.
por: Ander Muniategui, et al.
Publicado: (2012)