We have developed a mathematical framework for representing and testing hypotheses about gene, protein, and signaling molecule interactions. It takes a hierarchical, contradiction...
Background: In the genomic age, gene trees may contain large amounts of data making them hard to read and understand. Therefore, an automated simplification is important. Results:...
Paul-Ludwig Lott, Marvin Mundry, Christoph Sassenb...
Several ways of using singular value decomposition (SVD), a linear algebra technique typically used for information retrieval, to decompose problems into subproblems are investiga...
Background: Clustering is an important analysis performed on microarray gene expression data since it groups genes which have similar expression patterns and enables the explorati...
Xuejun Liu, Kevin K. Lin, Bogi Andersen, Magnus Ra...
Background: It is necessary to analyze microarray experiments together with biological information to make better biological inferences. We investigate the adequacy of current bio...