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The identification of key genes and pathways in polycystic ovary syndrome by bioinformatics analysis of next-generation sequencing data.

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Title: The identification of key genes and pathways in polycystic ovary syndrome by bioinformatics analysis of next-generation sequencing data.
Authors: Alur, Varun1 (AUTHOR), Vastrad, Basavaraj2 (AUTHOR), Raju, Varshita3 (AUTHOR), Vastrad, Chanabasayya4 (AUTHOR) channu.vastrad@gmail.com, Kotturshetti, Shivakumar4 (AUTHOR)
Source: Middle East Fertility Society Journal. 11/28/2024, Vol. 29 Issue 1, p1-29. 29p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Middle+East+Fertility+Society+Journal%22">Middle East Fertility Society Journal</searchLink>. 11/28/2024, Vol. 29 Issue 1, p1-29. 29p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=182190162
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              Text: 11/28/2024
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