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
usage stats
465
views
198
downloads
licence
CC BY-NC-ND 4.0
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 (3)
- 1,114 bytesMD5:
e90f7ad34b659ab5fbe745e85caccd3e
README.txt - 32,768 bytesMD5:
ae56be306c73fb18e55ef9cf3dab80b1
Primer sequence.doc - 79,872 bytesMD5:
39754e3728ad27df766e13034e788a28
qRT-PCR data.xls -
download all files (zip)
113,754 bytes unzipped