| 2006 |
|---|
| 6 | EE | Mark Girolami,
Simon Rogers:
Variational Bayesian Multinomial Probit Regression with Gaussian Process Priors.
Neural Computation 18(8): 1790-1817 (2006) |
| 2005 |
|---|
| 5 | EE | Simon Rogers,
Mark Girolami,
Ronald Krebs,
Harald Mischak:
Disease Classification from Capillary Electrophoresis: Mass Spectrometry.
ICAPR (1) 2005: 183-191 |
| 4 | EE | Mark Girolami,
Simon Rogers:
Hierarchic Bayesian models for kernel learning.
ICML 2005: 241-248 |
| 3 | EE | Simon Rogers,
Mark Girolami:
A Bayesian regression approach to the inference of regulatory networks from gene expression data.
Bioinformatics 21(14): 3131-3137 (2005) |
| 2 | EE | Simon Rogers,
Mark Girolami,
Colin Campbell,
Rainer Breitling:
The Latent Process Decomposition of cDNA Microarray Data Sets.
IEEE/ACM Trans. Comput. Biology Bioinform. 2(2): 143-156 (2005) |
| 2003 |
|---|
| 1 | | Sayan Mukherjee,
Pablo Tamayo,
Simon Rogers,
Ryan M. Rifkin,
Anna Engle,
Colin Campbell,
Todd R. Golub,
Jill P. Mesirov:
Estimating Dataset Size Requirements for Classifying DNA Microarray Data.
Journal of Computational Biology 10(2): 119-142 (2003) |
