Cargando…
Machine Learning Identifies a Signature of Nine Exosomal RNAs That Predicts Hepatocellular Carcinoma
SIMPLE SUMMARY: Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related death worldwide. HCC is often diagnosed at a late stage when treatment effectiveness is limited and its prognosis remains dire. Exosomes are secreted by all living cells, including cancer cells, and contain b...
Autores principales: | Yap, Josephine Yu Yan, Goh, Laura Shih Hui, Lim, Ashley Jun Wei, Chong, Samuel S., Lim, Lee Jin, Lee, Caroline G. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10377993/ https://www.ncbi.nlm.nih.gov/pubmed/37509410 http://dx.doi.org/10.3390/cancers15143749 |
Ejemplares similares
-
Machine learning identifies exosome features related to hepatocellular carcinoma
por: Zhu, Kai, et al.
Publicado: (2022) -
A nine-hub-gene signature of metabolic syndrome identified using machine learning algorithms and integrated bioinformatics
por: Liu, Guanzhi, et al.
Publicado: (2021) -
Network of clinically-relevant lncRNAs-mRNAs associated with prognosis of hepatocellular carcinoma patients
por: Lim, Lee Jin, et al.
Publicado: (2020) -
Functional coding haplotypes and machine-learning feature elimination identifies predictors of Methotrexate Response in Rheumatoid Arthritis patients
por: Lim, Ashley J.W., et al.
Publicado: (2022) -
Exosomal microRNAs in hepatocellular carcinoma
por: Liu, Chenbin, et al.
Publicado: (2021)