| 2007 |
|---|
| 5 | EE | Geoffrey J. McLachlan,
Richard Bean,
Liat Ben-Tovim Jones:
Extension of the mixture of factor analyzers model to incorporate the multivariate t-distribution.
Computational Statistics & Data Analysis 51(11): 5327-5338 (2007) |
| 2006 |
|---|
| 4 | EE | Geoffrey J. McLachlan,
Richard Bean,
Liat Ben-Tovim Jones:
A simple implementation of a normal mixture approach to differential gene expression in multiclass microarrays.
Bioinformatics 22(13): 1608-1615 (2006) |
| 3 | EE | Shu-Kay Ng,
Geoffrey J. McLachlan,
Kui Wang,
Liat Ben-Tovim Jones,
S.-W. Ng:
A Mixture model with random-effects components for clustering correlated gene-expression profiles.
Bioinformatics 22(14): 1745-1752 (2006) |
| 2 | EE | Liat Ben-Tovim Jones,
Richard Bean,
Geoffrey J. McLachlan,
Justin Xi Zhu:
Mixture Models for Detecting Differentially Expressed Genes in Microarrays.
Int. J. Neural Syst. 16(5): 353-362 (2006) |
| 2005 |
|---|
| 1 | EE | Liat Ben-Tovim Jones,
Richard Bean,
Geoffrey J. McLachlan,
Justin Xi Zhu:
Application of Mixture Models to Detect Differentially Expressed Genes.
IDEAL 2005: 422-431 |
