Cargando…
An integrative Bayesian network approach to highlight key drivers in systemic lupus erythematosus
BACKGROUND: A comprehensive intuition of the systemic lupus erythematosus (SLE), as a complex and multifactorial disease, is a biological challenge. Dealing with this challenge needs employing sophisticated bioinformatics algorithms to discover the unknown aspects. This study aimed to underscore key...
Autores principales: | Maleknia, Samaneh, Salehi, Zahra, Rezaei Tabar, Vahid, Sharifi-Zarchi, Ali, Kavousi, Kaveh |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7310461/ https://www.ncbi.nlm.nih.gov/pubmed/32576231 http://dx.doi.org/10.1186/s13075-020-02239-3 |
Ejemplares similares
-
Genome-wide prediction and prioritization of human aging genes by data fusion: a machine learning approach
por: Arabfard, Masoud, et al.
Publicado: (2019) -
The necessity of stroke prevention in patients with systemic lupus erythematosus
por: Saadatnia, Mohammad, et al.
Publicado: (2012) -
Meta-analysis of integrated ChIP-seq and transcriptome data revealed genomic regions affected by estrogen receptor alpha in breast cancer
por: Piryaei, Zeynab, et al.
Publicado: (2023) -
Cutaneous lupus erythematosus disease assessment: Highlighting CLE outcome measures
por: Gaffney, Rebecca G., et al.
Publicado: (2022) -
Identification of key biomarkers and immune infiltration in systemic lupus erythematosus by integrated bioinformatics analysis
por: Zhao, Xingwang, et al.
Publicado: (2021)