Machine-learning based patient classification using Hepatitis B virus full-length genome quasispecies from Asian and European cohorts
- Mueller-Breckenridge, A.J. (Alan J.)
- Garcia-Alcalde, F. (Fernando)
- Wildum, S. (Steffen)
- Smits, S.L. (Saskia)
- Man, R.A. (Robert) de
- Campenhout, M.J.H. (Margo) van
- Brouwer, W.P. (Willem)
- Niu, J. (Jianjun)
- Young, J.A.T. (John A T)
- Najera, I. (Isabel)
- Zhu, L. (Lina)
- Wu, D. (Daitze)
- Racek, T. (Tomas)
- Hundie, G.B. (Gadissa Bedada)
- Lin, Y. (Yong)
- Boucher, C.A.B. (Charles)
- Vijver, D.A.M.C. (David) van de
- Haagmans, B.L. (Bart)
Publication date
December 2019
DOI Publisher
Springer Science and Business Media LLC Language
EnglishAbstract
Chronic infection with Hepatitis B virus (HBV) is a major risk factor for the development of advanced liver disease including fibrosis, cirrhosis, and hepatocellular carcinoma (HCC). The relative contribution of virological factors to disease progression has not been fully defined and tools aiding the deconvolution of complex patient virus profiles is an unmet clinical need. Vari
Add to ORKG