Meta-analysis of endometrial transcriptome data reveals novel molecular targets for recurrent implantation failure.

Venkatlaxmi ChettiarAlpesh PatelShiva Shankaran ChettiarDevendrasinh D Jhala

Published in: Journal of assisted reproduction and genetics (2024)

In summary, the meta-signature genes hold promise for improving RIF patient identification and facilitating the development of personalized treatment strategies, illuminating the multifaceted nature of this complex condition.

Keyphrases

systematic review
bioinformatics analysis
genome wide
big data
meta analyses
case report
electronic health record
pulmonary tuberculosis
rna seq
single cell
gene expression
randomized controlled trial
single molecule
case control
artificial intelligence
machine learning
mycobacterium tuberculosis