Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
T. Ian Simpson, J. Douglas Armstrong, Andrew P. Ja...
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
Software Engineers frequently need to locate and understand the code that implements a specific user feature of a large system. This paper reports on a study by Motorola Inc. and ...
Michael Jiang, Michael Groble, Sharon Simmons, Den...
Background: In recent years, RNA molecules that are not translated into proteins (ncRNAs) have drawn a great deal of attention, as they were shown to be involved in many cellular ...
Computational complexity has been the primary challenge of many VLSI CAD applications. The emerging multicore and manycore microprocessors have the potential to offer scalable perf...