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RNA sequencing-based transcriptome analysis of granulosa cells from follicular fluid: Genes involved in embryo quality during in vitro fertilization and embryo transfer.

Eun Jeong YuWon Yun ChoiMi Seon ParkJin Hee EumDong Ryul LeeWoo Sik LeeSang Woo LyuSook Young Yoon
Published in: PloS one (2023)
RNA sequencing data provide the support or confute granulosa expressed genes as non-invasive biomarkers for identifying the embryonic developmental capacity.
Keyphrases
  • single cell
  • polycystic ovary syndrome
  • electronic health record
  • genome wide
  • big data
  • gene expression
  • dna methylation
  • machine learning
  • metabolic syndrome
  • genome wide analysis