Cargando…
Identifying Network Biomarkers in Early Diagnosis of Hepatocellular Carcinoma via miRNA–Gene Interaction Network Analysis
Background: Hepatocellular carcinoma (HCC) is a highly heterogeneous cancer at the histological level. Despite the emergence of new biological technology, advanced-stage HCC remains largely incurable. The prediction of a cancer biomarker is a key problem for targeted therapy in the disease. Methods:...
Autores principales: | Yang, Zhiyuan, Qi, Yuanyuan, Wang, Yijing, Chen, Xiangyun, Wang, Yuerong, Zhang, Xiaoli |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10529263/ https://www.ncbi.nlm.nih.gov/pubmed/37754250 http://dx.doi.org/10.3390/cimb45090466 |
Ejemplares similares
-
Identifying the driver miRNAs with somatic copy number alterations driving dysregulated ceRNA networks in cancers
por: Dou, Renjie, et al.
Publicado: (2023) -
Identifying Interaction Clusters for MiRNA and MRNA Pairs in TCGA Network
por: Dai, Xinqing, et al.
Publicado: (2019) -
Bioinformatics Methods Reveal the Biomarkers and the miRNA-mRNA Network in Hepatocellular Carcinoma
por: Liu, Yang, et al.
Publicado: (2022) -
Weighted miRNA co-expression networks analysis identifies circulating miRNA predicting overall survival in hepatocellular carcinoma patients
por: Pascut, Devis, et al.
Publicado: (2020) -
miRsig: a consensus-based network inference methodology to identify pan-cancer miRNA-miRNA interaction signatures
por: Nalluri, Joseph J., et al.
Publicado: (2017)