Cargando…
Construction of a 5-feature gene model by support vector machine for classifying osteoporosis samples
Osteoporosis is a progressive bone disease in the elderly and lacks an effective classification method of patients. This study constructed a gene signature for an accurate prediction and classification of osteoporosis patients. Three gene expression datasets of osteoporosis samples were acquired fro...
Autores principales: | Hu, Minwei, Zou, Ling, Lu, Jiong, Yang, Zeyu, Chen, Yinan, Xu, Yaozeng, Sun, Changhui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8806423/ https://www.ncbi.nlm.nih.gov/pubmed/34622712 http://dx.doi.org/10.1080/21655979.2021.1971026 |
Ejemplares similares
-
MicroRNA-590-5p antagonizes the inhibitory effect of high glucose on osteoblast differentiation by suppressing Smad7 in MC3T3-E1 cells
por: Chen, Yinan, et al.
Publicado: (2019) -
Identification and validation of novel gene markers of osteoporosis by weighted co expression analysis
por: Chen, Yinan, et al.
Publicado: (2022) -
The Construction of Support Vector Machine Classifier Using the Firefly Algorithm
por: Chao, Chih-Feng, et al.
Publicado: (2015) -
Construction of a 26-feature gene support vector machine classifier for smoking and non-smoking lung adenocarcinoma sample classification
por: Yang, Lei, et al.
Publicado: (2018) -
Construction of a Support Vector Machine–Based Classifier for Pulmonary Arterial Hypertension Patients
por: Shang, Zhenglu, et al.
Publicado: (2021)