I am a lecturer in the School of Mathematics and Statistics at the University of Sheffield.
Chapter 1 - Admin
Chapter 2 - Getting Started
Chapter 3 - The R language
Genetic epidemiology, statistical genetics, computational biology, Bayesian model selection.
Hannuun Yaacob, started 2015 (Using Bayes factors to fine map genes in complex disease).
Valentine Nlebedim, started 2016 (Developing statistical models of bacterial essentiality and fitness using transposon insertion data).
Liam Grimmett, started 2016 (Developing Bayesian methods to distinguish between galaxy formation models).
Dr. Amy Baddeley, 2010-14 (Comparing and developing statistical methods for fine-mapping genes in complex diseases).
Dr. Elizabeth Boggis, 2010-14 (Using the Bayesian Normal Gamma prior to identify associated sequence variants in eQTL studies).
Dr. Abdulaziz Alenazi, 2013-17 (Fine-mapping complex disease genes with incomplete functional genomic information using shrinkage priors).
Contact me if you are interested in working in Genetic Epidemiology, Statistical Genetics or statistical aspects of Computational Biology.
Alenazi, A., A., Cox, A., Juarez, M,. Lin, W-Y., Walters, K. Bayesian variable selection with continuous shrinkage priors and partially observed prior information in fine-mapping association studies. Submitted.
Walters, K. Sarsenov, R., Too, W.S., Hare, R.K., Paterson, I.C., Lambert, D.W., Brown, S., Bradford, J.R. Comprehensive functional profiling of long non-coding RNAs through pan-cancer integration and modular de-convolution of their protein-coding gene associations. Under revision.
Boggis, E., Milo, M., Walters, K. (2016) eQuIPS: eQTL analysis using informed partitioning of SNPs - a fully Bayesian approach. Genetic Epidemiology, 40: 273-283. Link to journal article
Spencer, A., Cox, A., Lin, W-Y., Easton, D.F., Michailidou, K., Walters, K. (2016) Incorporating functional genomic information in genetic association studies using an empirical Bayes approach. Genetic Epidemiology, 40: 176-187. Open Access Article
Spencer, A., Cox, A., Lin, W.-Y., Easton, D.F., Michailidou, K., Walters, K. (2015) Novel Bayes factors that capture expert uncertainty in prior density specification in genetic association studies. Genetic Epidemiology, 39: 239-248. Open Access Article
Boggis,E.M., Milo, M.M., Walters, K. (2014). Exploiting Adaptive Bayesian Regression Shrinkage to Identify Exome Sequence Variants Associated with Gene Expression. In: The Contribution of Young Researchers to Bayesian Statistics (Lanzarone, E. & Ieva, F., eds.) - Springer Proceedings in Mathematics & Statistics, 63, 135-138.
Spencer, A., Cox, A., Walters, K. (2014) Comparing the efficacy of SNP filtering methods for identifying a single causal SNP in a known association region. Annals of Human Genetics, 78: 50-61. Open Access Article
Bonello, N., Sampson, J., Burn, J., Wilson, I.J., McGrown, G., Margison, G.P., Thorncroft, M., Crossbie, P., Povey, A. C., Santibanez-Koref, M., Walters, K. (2013). Bayesian inference supports a location and neighbour-dependent model of DNA methylation propagation at the MGMT gene promoter in lung tumours. Journal of Theoretical Biology, 336: 87-95. Link to journal article
Walters, K. (2012). Parameter estimation for an immortal model of colonic stem cell division using approximate Bayesian computation. Journal of Theoretical Biology, 306: 104-114. Link to journal article
Back to my staff page.