Background: Microarray technologies have evolved rapidly, enabling biologists to quantify genome-wide levels of gene expression, alternative splicing, and sequence variations for ...
Nathan Salomonis, Kristina Hanspers, Alexander C. ...
In many classification and data-mining applications the user does not know a priori which distance measure is the most appropriate for the task at hand without examining the produ...
Abstract. As an alternative to message passing, Rochester's InterWeave system allows the programmer to map shared segments into programs spread across heterogeneous, distribut...
Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...
Background: Comparison of large protein datasets has become a standard task in bioinformatics. Typically researchers wish to know whether one group of proteins is significantly en...