It is often claimed that genes affecting health in old age, such as cardiovascular and Alzheimer diseases, are beyond the reach of natural selection. We show in a simulation study based on known genetic (apolipoprotein E) and non-genetic risk factors (gender, diet, smoking, alcohol, exercise) that, because there is a statistical distribution of ages at which these genes exert their influence on...

The fundamental power of microarrays lies in the ability to conduct parallel surveys of gene expression patterns for tens of thousands of genes across a wide range of cellular responses, phenotypes and conditions. Thus microarray data contain an overwhelming number of genes relative to the number of samples, presenting challenges for meaningful pattern discovery. This paper provides a comparati...

Most work on natural language question answering today focuses on answer selection: given a candidate list of sentences, determine which contains the answer. Although important, answer selection is only one stage in a standard end-to-end question answering pipeline. Œis paper explores the e‚ectiveness of convolutional neural networks (CNNs) for answer selection in an end-to-end context using th...

A maximum-likelihood approach was used to analyse selection pressures acting on genes from all four serotypes of dengue virus (DEN). A number of amino acid positions were identified within the envelope (E) glycoprotein that have been subject to relatively weak positive selection in both DEN-3 and DEN-4, as well as in two of the five genotypes of DEN-2. No positive selection was detected in DEN-...

We study the submodular secretary problem subject to a cardinality constraint, in long-running scenarios, or under resource constraints. In these scenarios the resources consumed by the algorithm should not grow with the input size, and the online selection algorithm should be an anytime algorithm. We propose a 0.1933-competitive anytime algorithm, which performs only a single evaluation of the...