Biclustering refers to simultaneous clustering of objects and their features. Use of biclustering is gaining momentum in areas such as text mining, gene expression analysis and co...
Alok N. Choudhary, Arifa Nisar, Waseem Ahmad, Wei-...
Background: Feature selection is an important pre-processing task in the analysis of complex data. Selecting an appropriate subset of features can improve classification or cluste...
Assaf Gottlieb, Roy Varshavsky, Michal Linial, Dav...
Background: During the past decade, many software packages have been developed for analysis and visualization of various types of microarrays. We have developed and maintained the...
Background: Applications of computational methods for predicting protein functional linkages are increasing. In recent years, several bacteria-specific methods for predicting link...
Anis Karimpour-Fard, Sonia M. Leach, Ryan T. Gill,...
Background: Data mining in large DNA sequences is a major challenge in microbial genomics and bioinformatics. Oligonucleotide usage (OU) patterns provide a wealth of information f...
Hamilton Ganesan, Anna S. Rakitianskaia, Colin F. ...