We address possible limitations of publicly available data sets of yeast gene expression. We study the predictability of known regulators via time-series analysis, and show that l...
In this paper we present a method for clustering SAGE (Serial Analysis of Gene Expression) data to detect similarities and dissimilarities between different types of cancer on the...
Advances in the field of microarray technology have attracted a lot of attention in the last years. More and more biological experiments are conducted based on microarrays. The c...
Background: The invariant lineage of the nematode Caenorhabditis elegans has potential as a powerful tool for the description of mutant phenotypes and gene expression patterns. We...
Thomas J. Boyle, Zhirong Bao, John I. Murray, Carl...
— Computational prediction of transcription factor’s binding sites and regulatory target genes has great value to the biological studies of cellular process. Existing practices...