Data underlying the research: Identification of potential hub genes and therapeutic drugs in ovarian cancer via bioinformatics analysis
doi: 10.4121/22267030.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future.
For a link that will always point to the latest version, please use
doi: 10.4121/22267030
doi: 10.4121/22267030
Datacite citation style:
Jingli Sun (2023): Data underlying the research: Identification of potential hub genes and therapeutic drugs in ovarian cancer via bioinformatics analysis. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/22267030.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
licence

Our findings indicate new insights into the underlying pathogenesis of OC, and the identified hub genes and drugs may improve individualized diagnosis and therapy for OC.
history
- 2023-03-16 first online, published, posted
publisher
4TU.ResearchData
format
*.doc’; *.xls
organizations
Department of Obstetrics and Gynecology, General Hospital of Northern Theater Command, Shenyang, China
DATA
files
- 32,768 bytes md5 Primer sequence.doc
- 79,872 bytes md5 qRT-PCR data.xls
- 1,114 bytes md5 README.txt
- download all files (zip)