Appointment: Associate Professor

Research topics:

• Machine Learning and Statistical Inference
• Learning with Unlabeled Data
• Meta and Ensemble learning
• Ontology for Knowledge Representation

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31 to 35 of 35 Results
Influenza H1N1 antigenic and sequence data
Apr 22, 2019 - AcRF Tier 2 Influenza
Yin, Rui, 2019, "Influenza H1N1 antigenic and sequence data", https://doi.org/10.21979/N9/O5XL2X, DR-NTU (Data), V1
H1N1 is the earliest emerging subtype of influenza A viruses with available genomic sequences, has caused several pandemics and seasonal epidemics, resulting in millions of deaths and enormous economic losses. Timely determination of new antigenic variants is crucial for the vacc...
Code and data for CFreeEnS
Apr 3, 2019 - AcRF Tier 2 Influenza
Zhou, Xinrui, 2019, "Code and data for CFreeEnS", https://doi.org/10.21979/N9/4YDZED, DR-NTU (Data), V1
A method called Context-Free Encoding Scheme (CFreeEnS) was proposed to encode protein sequence pairs into a numeric matrix. CFreeEnS takes advantage of rich information about the physiochemical and structural properties of amino acids. This encoding scheme keeps information abou...
Additional files for: Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses.
Additional files for: Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses.
Mar 22, 2019 - AcRF Tier 2 Influenza
Zhou, Xinrui; Zheng, Jie; Ivan, Fransiskus Xaverius; Yin, Rui; Shoba Ranganathan; Chow, Vincent T. K.; Kwoh, Chee-Keong, 2019, "Additional files for: Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses.", https://doi.org/10.21979/N9/TQEOP6, DR-NTU (Data), V1
BACKGROUND: Influenza viruses are undergoing continuous and rapid evolution. The fatal influenza A/H7N9 has drawn attention since the first wave of infections in March 2013 and raised more grave concerns with its increased potential to spread among humans. Experimental studies ha...
Supplementary materials and Matlab code for "Rules of co-occurring mutations characterize the antigenic evolution of human influenza A/H3N2, A/H1N1 and B viruses"
Supplementary materials and Matlab code for "Rules of co-occurring mutations characterize the antigenic evolution of human influenza A/H3N2, A/H1N1 and B viruses"
Mar 22, 2019 - AcRF Tier 2 Influenza
Chen, Haifen; Zhou, Xinrui; Zheng, Jie; Kwoh, Chee Keong, 2019, "Supplementary materials and Matlab code for "Rules of co-occurring mutations characterize the antigenic evolution of human influenza A/H3N2, A/H1N1 and B viruses"", https://doi.org/10.21979/N9/H73L8Y, DR-NTU (Data), V1
Background The human influenza viruses undergo rapid evolution (especially in hemagglutinin (HA), a glycoprotein on the surface of the virus), which enables the virus population to constantly evade the human immune system. Therefore, the vaccine has to be updated every year to st...
AcRF Tier 2 Influenza(Nanyang Technological University)
Mar 22, 2019
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