Background: We consider effects of dependence among variables of high-dimensional data in multiple hypothesis testing problems, in particular the False Discovery Rate (FDR) contro...
Abstract. Bounded-exhaustive testing is an automated testing methodology that checks the code under test for all inputs within given bounds: first the user describes a set of test...
Vilas Jagannath, Yun Young Lee, Brett Daniel, Dark...
In this paper, we introduce a novel framework for clustering web data which is often heterogeneous in nature. As most existing methods often integrate heterogeneous data into a un...
Spectral clustering is one of the most widely used techniques for extracting the underlying global structure of a data set. Compressed sensing and matrix completion have emerged a...
Background: Knowledge of transcription factor-DNA binding patterns is crucial for understanding gene transcription. Numerous DNA-binding proteins are annotated as transcription fa...
Denitsa Alamanova, Philip Stegmaier, Alexander E. ...