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Identification of key pathways and genes in polycystic ovary syndrome via integrated bioinformatics analysis and prediction of small therapeutic molecules

Crossref DOI link: https://doi.org/10.1186/s12958-021-00706-3

Published Online: 2021-02-23

Published Print: 2021-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Devarbhavi, Praveenkumar https://orcid.org/0000-0003-0982-1369
Telang, Lata https://orcid.org/0000-0003-3931-7323
Vastrad, Basavaraj https://orcid.org/0000-0003-2202-7637
Tengli, Anandkumar https://orcid.org/0000-0001-8076-928X
Vastrad, Chanabasayya https://orcid.org/0000-0003-3615-4450
Kotturshetti, Iranna https://orcid.org/0000-0003-1988-7345
License Information

Text and Data Mining valid from 2021-02-23

Version of Record valid from 2021-02-23
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Article History

Received: 17 November 2020

Accepted: 28 January 2021

First Online: 23 February 2021

Ethics approval and consent to participate

: This article does not contain any studies with human participants or animals performed by any of the authors.

: Not applicable.

: The authors declare that they have no competing interests.

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