Cargando…
Topic Evolution Analysis for Omics Data Integration in Cancers
One of the vital challenges for cancer diseases is efficient biomarkers monitoring formation and development are limited. Omics data integration plays a crucial role in the mining of biomarkers in the human condition. As the link between omics study on biomarkers discovery and cancer diseases is dee...
Autores principales: | Ning, Li, Huixin, He |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8058380/ https://www.ncbi.nlm.nih.gov/pubmed/33898421 http://dx.doi.org/10.3389/fcell.2021.631011 |
Ejemplares similares
-
Multi-Omics Data Integration Analysis of an Immune-Related Gene Signature in LGG Patients With Epilepsy
por: Cheng, Quan, et al.
Publicado: (2021) -
Editorial: Omics Data Integration Towards Mining of Phenotype Specific Biomarkers in Cancers and Diseases
por: Cheng, Liang, et al.
Publicado: (2021) -
Identification of Novel Susceptible Genes of Gastric Cancer Based on Integrated Omics Data
por: Yaoxing, Huang, et al.
Publicado: (2021) -
Editorial: Multi-omics data integration: key to thoroughly understanding the immune system
por: Jiménez, Cristina, et al.
Publicado: (2023) -
Integrated multi-omics analysis reveals insights into Chinese forest musk deer (Moschus berezovskii) genome evolution and musk synthesis
por: Feng, Hui, et al.
Publicado: (2023)