Cargando…
Integrated Multi-Omics Analysis Model to Identify Biomarkers Associated With Prognosis of Breast Cancer
BACKGROUND: With the rapid development and wide application of high-throughput sequencing technology, biomedical research has entered the era of large-scale omics data. We aim to identify genes associated with breast cancer prognosis by integrating multi-omics data. METHOD: Gene-gene interactions we...
Autores principales: | Fan, Yeye, Kao, Chunyu, Yang, Fu, Wang, Fei, Yin, Gengshen, Wang, Yongjiu, He, Yong, Ji, Jiadong, Liu, Liyuan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9232398/ https://www.ncbi.nlm.nih.gov/pubmed/35761863 http://dx.doi.org/10.3389/fonc.2022.899900 |
Ejemplares similares
-
Integrative Analysis of Multi-Omics Identified the Prognostic Biomarkers in Acute Myelogenous Leukemia
por: Zheng, Jiafeng, et al.
Publicado: (2020) -
Integration of multi-omics data reveals a novel hybrid breast cancer subtype and its biomarkers
por: Wang, Zhen-zhen, et al.
Publicado: (2023) -
An Improved Training Algorithm Based on Ensemble Penalized Cox Regression for Predicting Absolute Cancer Risk
por: Liu, Liyuan, et al.
Publicado: (2023) -
Integrative Multi−Omics Analysis Reveals Candidate Biomarkers for Oral Squamous Cell Carcinoma
por: Wan, Zhengqing, et al.
Publicado: (2022) -
Integrative Multi-Omics Analysis of Identified NUF2 as a Candidate Oncogene Correlates With Poor Prognosis and Immune Infiltration in Non-Small Cell Lung Cancer
por: Chen, Mengqing, et al.
Publicado: (2021)