Meta-analysis of endometrial transcriptome data reveals novel molecular targets for recurrent implantation failure.
Venkatlaxmi ChettiarAlpesh PatelShiva Shankaran ChettiarDevendrasinh D JhalaPublished 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
- rna seq
- pulmonary tuberculosis
- gene expression
- single cell
- dna methylation
- endometrial cancer
- artificial intelligence
- case control
- genome wide identification
- randomized controlled trial
- machine learning
- mycobacterium tuberculosis
- data analysis
- genome wide analysis