Dr Timothy Peters
Tim’s background is in bioinformatics and applied statistics. He completed a PhD on the principles of statistical learning for transcriptomic data in the Department of Statistics at Macquarie University in 2012.
He has worked as a Postdoctoral Fellow at CSIRO on the EpiSCOPE project: mapping the epigenetic terrain of human adipocytes, performing statistical analyses for human EWASs (epigenome wide association studies) and has published a novel method for statistical inference of whole-methylome data.
In addition, he has spoken at a number of national and international conferences, including an oral presentation at the Joint Statistical Meetings (JSM) in Washington, DC.
2005 – BSc (Bioinformatics)(Hons), University of Sydney – Australia
Pidsley, R., Zotenko, E., Peters, T. J., Lawrence, M. G., Risbridger, G. P., Molloy, P., Van Dijk, S., Muhlhausler, B., Stirzaker, C. and S.J. Clark. (2016). Critical evaluation of the Illumina MethylationEPIC BeadChip microarray for whole-genome DNA methylation profiling. Genome Biology, 17(1), 208.
Peters T.J., Buckley M.J., Statham A.L., Pidsley R., Samaras K., Lord R.V., Clark S.J. and P.L. Molloy (2015). De novo identification of differentially methylated regions in the human genome. Epigenetics & Chromatin, 8:6.
Hallwirth, C. V, Garg, G., Peters, T. J., Kramer, B. A., Malani, N. V, Hyman, J., Ruan, X., Ginn, S.L., Hetherington, N.A., Veeravalli, L., Shahab, A., Ranganathan, S., Wei, C.L., Liddle, C., Thrasher, A.J., Bushman, F.D., Buckley M. J. and I.E. Alexander. (2015). Coherence analysis discriminates between retroviral integration patterns in CD34(+) cells transduced under differing clinical trial conditions. Molecular Therapy. Methods & Clinical Development, 2, 15015.
Peters T., Bulger D.W., Loi T.-H., Yang J.Y.H., and D. Ma (2011). Two-step cross-entropy feature selection for microarrays—power through complementarity. IEEE/ACM Trans Comput Biol Bioinform. 8(4):1148-51