Publications
(in the last 10 years)
Full publications: https://loop.frontiersin.org/people/21134/publications
2019
Deveaux, W. & Selvarajoo, K. (2019). Searching for simple rules in Pseudomonas aeruginosa biofilm formation. BMC Research Notes, 12, doi: https://doi.org/10.1186/s13104-019-4795-x.
Selvarajoo, K. (2019). Large-scale-free network organisation is likely key for biofilm phase transition. Engineering Biology, 3(4), 67-71, doi: https://doi.org/10.1049/enb.2019.0012.
Deveaux, W., Hayashi, K. & Selvarajoo, K. (2019). Defining rules for cancer cell proliferation in TRAIL stimulation. NPJ Systems Biology and Applications, 5, doi: https://doi.org/10.1038/s41540-019-0084-5.
Zou, T., Bui, T. T. & Selvarajoo, K. (2019). ABioTrans: A Biostatistical Tool for Transcriptomics Analysis. Frontiers in Genetics, 10, doi: https://doi.org/10.3389/fgene.2019.00499.
Piras, V., Chiow, A. & Selvarajoo, K. (2019). Long Range Order and Short Range Disorder in Saccharomyces cerevisiae Biofilm. Engineering Biology, 3, 12-19, doi: https://doi.org/10.1101/451062.
Selvarajoo, K. (2019). Variability that causes collective behavior. Organisms. Journal of Biological Sciences, 3(1), 15, doi: https://doi.org/10.13133/2532-5876_5.4.
2018
Bui, T. T., Giuliani, A. & Selvarajoo, K. (2018). Statistical Distribution as a Way for Lower Gene Expressions Threshold Cutoff. Organisms. Journal of Biological Sciences, 2(2), 55-58, doi: https://doi.org/10.13133/2532-5876_4.6.
Selvarajoo, K. (2018). Order Parameter in Bacterial Biofilm Adaptive Response. Frontiers in Microbiology, 9, doi: https://doi.org/10.3389/fmicb.2018.01721.
Selvarajoo, K. (2018). Complexity of Biochemical and Genetic Responses Reduced Using Simple Theoretical Models. In M. Bizzarri (Ed.), Systems Biology. Methods in Molecular Biology, vol 1702 (pp. 171-201). New York: Humana Press, doi: https://doi.org/10.1007/978-1-4939-7456-6_9.
Selvarajoo, K., Piras, V. & Giuliani, A. (2018). Hints from Information Theory for Analyzing Dynamic and High-Dimensional Biological Data. In N. Rajewsky, S. Jurga & J. Barciszewski (Eds.), Systems Biology. RNA Technologies (pp. 313-336). Springer, Cham, doi: https://doi.org/10.1007/978-3-319-92967-5_16.