References
- Daoud M. The extension of the largest generalized-eigenvalue based distance metric D_ij (gamma_1 ) in arbitrary feature spaces to classify composite data points. Genomics Inform 2019;17:e39. https://doi.org/10.5808/GI.2019.17.4.e39
- Daoud M. Insights of window-based mechanism approach to visualize composite BioData point in feature spaces. Genomics Inform 2019;17:e4. https://doi.org/10.5808/GI.2019.17.1.e4
- Lakdawala SS, Brooke CB. What's new with flu? An overview. Viruses 2019;11:E433.
- White MC, Lowen AC. Implications of segment mismatch for influenza A virus evolution. J Gen Virol 2018;99:3-16. https://doi.org/10.1099/jgv.0.000989
- Halling-Brown M, Shepherd AJ. Constructing computational pipelines. Methods Mol Biol 2008;453:451-470. https://doi.org/10.1007/978-1-60327-429-6_24
- James G, Witten D, Hastie T, Tibshirani R. An Introduction to Statistical Learning: with Applications in R. New York: Springer, 2014.
- Daoud M, Kremer SC. A new distance distribution paradigm to detect the variability of the influenza-A virus in high dimensional spaces. In: 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshop, 2009 Nov 13, Washington, DC, USA. Orlando: Institute of Electrical and Electronics Engineers, 2009. pp. 32-37.
- Daoud M. Quantum sequence analysis: a new alignment-free technique for analyzing sequences in feature space. In: Proceedings of the International Conference on Bioinformatics, Computational Biology and Biomedical Informatics (Gheng Q, Jeun J, Li Y, Prieto- Centurion V, Krishnan JA, Schatz BR, eds.), 2013 Sep 22-25, Washington, DC, USA. New York: ACM Press, 2013. pp. 702.
- NCBI. Influenza Virus Resource. Bethesda: National Center for Biotechnology Information, 2008. Accessed 2019 Sep 2. Available from: http://www.ncbi.nlm.nih.gov/genomes/FLU/.
- Centers for Disease Control and Prevention. Influenza (Flu). Atlanta: Centers for Disease Control and Prevention, 2019. Accessed 2019 Sep 2. Available from: https://www.cdc.gov/flu/resource-center/freeresources/graphics/images.htm.