Machine Learning Supports Long Noncoding RNAs as Expression Markers for Endometrial Carcinoma

Uterine corpus endometrial carcinoma (UCEC) is the second most common type of gynecological tumor. Several research studies have recently shown the potential of different ncRNAs as biomarkers for prognostics and diagnosis in different types of cancers, including UCEC. Thus, we hypothesized that long...

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Detalles Bibliográficos
Autores principales: Mello, Ana Carolina, Freitas, Martiela, Coutinho, Laura, Falcon, Tiago, Matte, Ursula
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7199595/
https://www.ncbi.nlm.nih.gov/pubmed/32420338
http://dx.doi.org/10.1155/2020/3968279

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7199595/
https://www.ncbi.nlm.nih.gov/pubmed/32420338
http://dx.doi.org/10.1155/2020/3968279

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