Cargando…
Screening of Gene Expression Markers for Corona Virus Disease 2019 Through Boruta_MCFS Feature Selection
Since the first report of SARS-CoV-2 virus in Wuhan, China in December 2019, a global outbreak of Corona Virus Disease 2019 (COVID-19) pandemic has been aroused. In the prevention of this disease, accurate diagnosis of COVID-19 is the center of the problem. However, due to the limitation of detectio...
Autores principales: | Sun, Yanbao, Zhang, Qi, Yang, Qi, Yao, Ming, Xu, Fang, Chen, Wenyu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9258782/ https://www.ncbi.nlm.nih.gov/pubmed/35812497 http://dx.doi.org/10.3389/fpubh.2022.901602 |
Ejemplares similares
-
A diabetes prediction model based on Boruta feature selection and ensemble learning
por: Zhou, Hongfang, et al.
Publicado: (2023) -
Prognostic model development for classification of colorectal adenocarcinoma by using machine learning model based on feature selection technique boruta
por: Maurya, Neha Shree, et al.
Publicado: (2023) -
Identifying potential circulating miRNA biomarkers for the diagnosis and prediction of ovarian cancer using machine-learning approach: application of Boruta
por: Hamidi, Farzaneh, et al.
Publicado: (2023) -
XGBoost-Based Feature Learning Method for Mining COVID-19 Novel Diagnostic Markers
por: Song, Xianbin, et al.
Publicado: (2022) -
Comparative genomics study reveals Red Sea Bacillus with characteristics associated with potential microbial cell factories (MCFs)
por: Othoum, G., et al.
Publicado: (2019)