… KYYeung and WLRuzzo … Please refer to our supplementary web site or Yeung and
Ruzzo (2000) for a detailed description of the adjusted Rand index. … KYYeung and WLRuzzo …

… We used the three synthetic data sets proposed in Yeung and Ruzzo (2001). Each of the
three synthetic data sets has different properties. By using all three sets of synthetic data, we …

Motivation: Many clustering algorithms have been proposed for the analysis of gene
expression data, but little guidance is available to help choose among them. We provide a …

Motivation: Selecting a small number of relevant genes for accurate classification of samples
is essential for the development of diagnostic tests. We present the Bayesian model …

In order to compare clustering results against external criteria, a measure of agreement is
needed. Since we assume that each gene is assigned to only one class in the external …

… generally perform better than approaches that do not (Yeung et al., 2003). We also showed
… and Euclidean distances can be found in Yeung et al. (2003) and in the Web supplement. …

Clustering is a common methodology for the analysis of array data, and many research
laboratories are generating array data with repeated measurements. We evaluated several …

3,3-Diaryloxidoles are prepared in high yields (62−99%) by reaction of isatin or substituted
isatins with aromatics in triflic acid. The reaction shows a significant dependence on acid …

Currently, limited molecular markers exist that can determine where in the spectrum of
chronic myeloid leukemia (CML) progression an individual patient falls at diagnosis. Gene …

Network models are widely used in social sciences and genome sciences. The latent space
model proposed by Hoff et al. ( 2002 ), and extended by Handcock et al. ( 2007 ) to …