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Combining signals from traditional electroencephalography with those of novel physiological measures such as pupil dilation could enable more accurate and robust real-time monitoring of cognitive workload.
The problem of inference of family trees, or pedigree reconstruction, for a group of individuals has attracted lots of attentions recently. Various methods have been proposed to automate the process of pedigree reconstruction given the genotypes or haplotypes of a set of individuals. The state-of-the-art method IPED is able to reconstruct large pedigrees with reasonable accuracy. However, the algorithm...
A classical approach to evaluating the accuracy of a classifier error estimator involves fixing the true distribution and averaging performance over the corresponding sampling distribution. We may evaluate marginal and mixed moments of the true and estimated errors, as well consider joint characteristics in terms of RMS or even the complete joint density. Since performance is averaged over the samples,...
Next generation sequencing (NGS) technology has increasingly become the backbone of transcriptomics analysis, but sequencer error causes biases in the read counts. In this paper we establish a framework for predicting true sequences from NGS data. We formulate this task as a classification problem. We define several features, such as log likelihood ratio of estimated true counts, error probability...
Metagenomics is the study of environmental samples. Because few tools exist for metagenomic analysis, a natural step has been to utilize the popular homology tool, BLAST, to search for sequence similarity between DNA reads and an administered database. Most biologists use this method today without knowing BLAST's accuracy, especially when a particular taxonomic class is under-represented in the database...
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