Cargando…
Identification of recent cases of hepatitis C virus infection using physical-chemical properties of hypervariable region 1 and a radial basis function neural network classifier
BACKGROUND: Identification of acute or recent hepatitis C virus (HCV) infections is important for detecting outbreaks and devising timely public health interventions for interruption of transmission. Epidemiological investigations and chemistry-based laboratory tests are 2 main approaches that are a...
Autores principales: | Lara, James, Teka, Mahder, Khudyakov, Yury |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5731502/ https://www.ncbi.nlm.nih.gov/pubmed/29244000 http://dx.doi.org/10.1186/s12864-017-4269-2 |
Ejemplares similares
-
Polyvalent immunization elicits a synergistic broadly neutralizing immune response to hypervariable region 1 variants of hepatitis C virus
por: Mosa, Alexander I., et al.
Publicado: (2023) -
Evolution of the hepatitis E virus hypervariable region
por: Smith, Donald B., et al.
Publicado: (2012) -
Hepatitis C Virus Hypervariable Region 1 Variants Presented on Hepatitis B Virus Capsid-Like Particles Induce Cross-Neutralizing Antibodies
por: Lange, Milena, et al.
Publicado: (2014) -
Cost-Sensitive Radial Basis Function Neural Network Classifier for Software Defect Prediction
por: Kumudha, P., et al.
Publicado: (2016) -
The Hepatitis E Virus Polyproline Region Is Involved in Viral Adaptation
por: Purdy, Michael A., et al.
Publicado: (2012)