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
Abstract 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 th...
Main Authors: | James Lara, Mahder Teka, Yury Khudyakov |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2017-12-01
|
Series: | BMC Genomics |
Online Access: | http://link.springer.com/article/10.1186/s12864-017-4269-2 |
Similar Items
-
Hepatitis C virus hypervariable region 1 variants presented on hepatitis B virus capsid-like particles induce cross-neutralizing antibodies.
by: Milena Lange, et al.
Published: (2014-01-01) -
Proline-Rich Hypervariable Region of Hepatitis E Virus: Arranging the Disorder
by: Milagros Muñoz-Chimeno, et al.
Published: (2020-09-01) -
Reduction of Cell Fusion by Deletion in the Hypervariable Region of the Spike Protein of Mouse Hepatitis Virus
by: Nipuna Tennakoon, et al.
Published: (2022-02-01) -
SUPERVISED AND UNSUPERVISED LEARNING IN RADIAL BASIS FUNCTION CLASSIFIERS
by: Tarassenko, L, et al.
Published: (1994) -
The hepatitis E virus polyproline region is involved in viral adaptation.
by: Michael A Purdy, et al.
Published: (2012-01-01)