2010

Dakna, M., Harris, K. , Kalousis, A., Carpentier, S., Kolch, W., Schanstra, J.P., Haubitz, M., Vlahou, A., Mischak, H. , and Girolami, M. (2010) Addressing the Challenge of Defining Valid Proteomic Biomarkers and Classifiers. BMC Bioinformatics, 11 (1). p. 594. ISSN 1471-2105 (doi:10.1186/1471-2105-11-594)

Hopcroft, L.E.M., McBride, M.W. , Harris, K.J. , Sampson, A.K. , McClure, J.D. , Graham, D. , Young, G. , Holyoake, T.L., Girolami, M.A. , and Dominiczak, A.F. (2010) Predictive response-relevant clustering of expression data provides insights into disease processes. Nucleic Acids Research, 38 (20). pp. 6831-6840. ISSN 0305-1048 (doi:10.1093/nar/gkq550)

McBride, M., Hopcroft, L. , Harris, K. , McClure, J. , Graham, D. , Girolami, M. , and Dominiczak, M. (2010) Insights into Salt-Sensitive Hypertension Using Response-Relevant Clustering. In: 20th Annual Meeting of the European Society of Hypertension, 18-21 June, Oslo, Norway.

2009

Harris, K., Girolami, M. , and Mischak, H. (2009) Definition of valid proteomic biomarkers: a bayesian solution. Lecture Notes in Computer Science, 5780 . pp. 137-149. ISSN 0302-9743 (doi:10.1007/978-3-642-04031-3_13)

Harris, K., McMillan, L., and Girolami, M. (2009) Inferring meta-covariates in classification. Lecture Notes in Computer Science, 5780 . pp. 150-161. ISSN 0302-9743 (doi:10.1007/978-3-642-04031-3_14)