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...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2020-01-01
|
Series: | BioMed Research International |
Online Access: | http://dx.doi.org/10.1155/2020/3968279 |