Background: Many attempts are being made to understand biological subjects at a systems level. A major resource for these approaches are biological databases, storing manifold inf...
Stephan Weise, Ivo Grosse, Christian Klukas, Dirk ...
Background: Hidden Markov Models (HMMs) provide an excellent means for structure identification and feature extraction on stochastic sequential data. An HMM-with-Duration (HMMwD) ...
We present a method for designing efficient multigenic predictors with few probes and its application to the prediction of the response to preoperative chemotherapy in breast cance...
Background: A new algorithm for assessing similarity between primer and template has been developed based on the hypothesis that annealing of primer to template is an information ...
Background: Tissue microarray (TMA) technology has been developed to facilitate large, genome-scale molecular pathology studies. This technique provides a high-throughput method f...
Archana Sharma-Oates, Philip Quirke, David R. West...