Cargando…
Identification of Pan-Cancer Prognostic Biomarkers Through Integration of Multi-Omics Data
Prognostic biomarkers dedicating to treat cancer are very difficult to identify. Although high-throughput sequencing technology allows us to mine prognostic biomarkers much deeper by analyzing omics data, there is lack of effective methods to comprehensively utilize multi-omics data. In this work, w...
Autores principales: | Zhao, Ning, Guo, Maozu, Wang, Kuanquan, Zhang, Chunlong, Liu, Xiaoyan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7142216/ https://www.ncbi.nlm.nih.gov/pubmed/32300588 http://dx.doi.org/10.3389/fbioe.2020.00268 |
Ejemplares similares
-
Pan-Cancer Methylated Dysregulation of Long Non-coding RNAs Reveals Epigenetic Biomarkers
por: Zhao, Ning, et al.
Publicado: (2022) -
The Joint Analysis of Multi-Omics Data Revealed the Methylation-Expression Regulations in Atrial Fibrillation
por: Liu, Ban, et al.
Publicado: (2020) -
Editorial: Multi-Omics Approaches to Study Signaling Pathways
por: Sharma, Jyoti, et al.
Publicado: (2020) -
Editorial: Multi-Omics Technologies for Optimizing Synthetic Biomanufacturing
por: Kim, Young-Mo, et al.
Publicado: (2021) -
Prediction of drug sensitivity based on multi-omics data using deep learning and similarity network fusion approaches
por: Liu, Xiao-Ying, et al.
Publicado: (2023)