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Identification of key pathways and genes in polycystic ovary syndrome via integrated bioinformatics analysis and prediction of small therapeutic molecules
To enhance understanding of polycystic ovary syndrome (PCOS) at the molecular level; this investigation intends to examine the genes and pathways associated with PCOS by using an integrated bioinformatics analysis. Based on the expression profiling by high throughput sequencing data GSE84958 derived...
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| Gepubliceerd in: | Reprod Biol Endocrinol |
|---|---|
| Hoofdauteurs: | , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
BioMed Central
2021
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7901211/ https://ncbi.nlm.nih.gov/pubmed/33622336 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12958-021-00706-3 |
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