Cargando…
Prediction of hepatitis C virus interferon/ribavirin therapy outcome based on viral nucleotide attributes using machine learning algorithms
BACKGROUND: Hepatitis C virus (HCV) causes chronic hepatitis C in 2-3% of world population and remains one of the health threatening human viruses, worldwide. In the absence of an effective vaccine, therapeutic approach is the only option to combat hepatitis C. Interferon-alpha (IFN-alpha) and ribav...
Autores principales: | KayvanJoo, Amir Hossein, Ebrahimi, Mansour, Haqshenas, Gholamreza |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4246553/ https://www.ncbi.nlm.nih.gov/pubmed/25150834 http://dx.doi.org/10.1186/1756-0500-7-565 |
Ejemplares similares
-
Prediction of lung tumor types based on protein attributes by machine learning algorithms
por: Hosseinzadeh, Faezeh, et al.
Publicado: (2013) -
Consensus Interferon Plus Ribavirin for Hepatitis C Genotype 3 Patients Previously Treated With Pegylated Interferon Plus Ribavirin
por: Abbas, Zaigham, et al.
Publicado: (2013) -
Hepatitis C: viral and host factors associated with non-response to pegylated interferon plus ribavirin
por: Asselah, Tarik, et al.
Publicado: (2010) -
Retreatment of hepatitis C patients with pegylated interferon combined with ribavirin in non-responders to interferon plus ribavirin. Is it different in real life?
por: Gonçales, Fernando L, et al.
Publicado: (2010) -
Machine Learning Based Classification of Microsatellite Variation: An Effective Approach for Phylogeographic Characterization of Olive Populations
por: Torkzaban, Bahareh, et al.
Publicado: (2015)