Dr Keith Harris

  • Research Associate in Bioinformatics of Genomics Data (Infrastructure and Environment)

telephone: 01413301626
email: Keith.Harris@glasgow.ac.uk


List all by: Type | Date

Jump to: 2010 | 2009
Number of items: 5.

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)

This list was generated on Tue May 21 03:42:43 2013 BST.
Number of items: 5.

Article

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)

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)

Conference Proceedings

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.

This list was generated on Tue May 21 03:42:43 2013 BST.