Background: With the biomedical literature continually expanding, searching PubMed for information about specific genes becomes increasingly difficult. Not only can thousands of r...
Catalina O. Tudor, Carl J. Schmidt, K. Vijay-Shank...
Background: Clustering is a popular data exploration technique widely used in microarray data analysis. Most conventional clustering algorithms, however, generate only one set of ...
Creating complex spatio?temporal simulation models is a hot issue in the area of spatio?temporal databases [7]. While existing Moving Object Simulators (MOSs) address different ph...
The paradigm of “human computation” seeks to harness human abilities to solve computational problems or otherwise perform distributed work that is beyond the scope of current ...
—Eigenvalue analysis is an important aspect in many data modeling methods. Unfortunately, the eigenvalues of the sample covariance matrix (sample eigenvalues) are biased estimate...
Anne Hendrikse, Luuk J. Spreeuwers, Raymond N. J. ...