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.
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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 (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