Identification and analysis of genes associated with epithelial ovarian cancer by integrated bioinformatics methods.
<h4>Background</h4>Though considerable efforts have been made to improve the treatment of epithelial ovarian cancer (EOC), the prognosis of patients has remained poor. Identifying differentially expressed genes (DEGs) involved in EOC progression and exploiting them as novel biomarkers or...
Enregistré dans:
| Auteurs principaux: | , , , |
|---|---|
| Format: | article |
| Langue: | EN |
| Publié: |
Public Library of Science (PLoS)
2021
|
| Sujets: | |
| Accès en ligne: | https://doaj.org/article/c47fe0c0c8484b58998fd63f1d35222c |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|