Integrated data driven analysis identifies potential candidate genes associated with PCOS-Reference-Cited by-同舟云学术

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Integrated data driven analysis identifies potential candidate genes associated with PCOS

Published:2024-12 Issue: Volume:113 Page:108191
ISSN:1476-9271
Container-title:Computational Biology and Chemistry
language:en
Short-container-title:Computational Biology and Chemistry

Author:

Joseph Shaini^ORCID,Patil Krutika^ORCID,Rahate Niharika,Shah Jatin,Mukherjee Srabani^ORCID,Mahale Smita D.

Publisher

Elsevier BV

Reference70 articles.

1. Enhanced inflammatory transcriptome in the granulosa cells of women with polycystic ovarian syndrome;Adams;J. Clin. Endocrinol. Metab.,2016

2. PCOSBase: a manually curated database of polycystic ovarian syndrome;Afiqah-Aleng;Database (Oxford),2017

3. Proteomics of follicular fluid from women with polycystic ovary syndrome suggests molecular defects in follicular development;Ambekar;J. Clin. Endocrinol. Metab.,2015

4. GeneTIER: prioritization of candidate disease genes using tissue-specific gene expression profiles;Antanaviciute;Bioinformatics,2015

5. Fundamental concepts and novel aspects of polycystic ovarian syndrome: expert consensus resolutions;Aversa;Front. Endocrinol. (Lausanne).,2020

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