Machine Learning Classifiers for Endometriosis Using Transcriptomics and Methylomics Data

Endometriosis is a complex and common gynecological disorder yet a poorly understood disease affecting about 176 million women worldwide and causing significant impact on their quality of life and economic burden. Neither a definitive clinical symptom nor a minimally invasive diagnostic method is av...

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Detalles Bibliográficos
Autores principales: Akter, Sadia, Xu, Dong, Nagel, Susan C., Bromfield, John J., Pelch, Katherine, Wilshire, Gilbert B., Joshi, Trupti
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6737999/
https://www.ncbi.nlm.nih.gov/pubmed/31552087
http://dx.doi.org/10.3389/fgene.2019.00766

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6737999/
https://www.ncbi.nlm.nih.gov/pubmed/31552087
http://dx.doi.org/10.3389/fgene.2019.00766

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