Donna K. Slonim

Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression Monitoring

Although cancer classification has improved over the past 30 years, there has been no general approach for identifying new cancer classes (class discovery) or for assigning tumo...

Interpreting patterns of gene expression with self-organizing maps: Methods and application to hematopoietic differentiation

Array technologies have made it straightforward to monitor simultaneously the expression pattern of thousands of genes. The challenge now is to interpret such massive data sets....

From patterns to pathways: gene expression data analysis comes of age

Chemosensitivity prediction by transcriptional profiling

In an effort to develop a genomics-based approach to the prediction of drug response, we have developed an algorithm for classification of cell line chemosensitivity based on ge...

Assessment of network module identification across complex diseases

Many bioinformatics methods have been proposed for reducing the complexity of large gene or protein networks into relevant subnetworks or modules. Yet, how such methods compare ...