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MOTIVATION The development of high-throughput sequencing technologies has enabled novel methods for detecting structural variants (SVs). Current methods are typically based on depth of coverage or pair-end mapping clusters. However, most of these only report an approximate location for each SV, rather than exact breakpoints. RESULTS We have developed(More)
Feature-weight assignment can be regarded as a generalization of feature selection. That is, if all values of feature-weights are either 1 or 0, feature-weight assignment degenerates to the special case of feature selection. Generally speaking, a number in ½0; 1Š can be assigned to a feature for indicating the importance of the feature. This paper shows(More)
We have developed a novel approach to speech feature extraction based on a modulation model of a band-pass signal. Speech is processed by a bank of band-pass filters. At the output of the band-pass filters the signal is subjected to a log-derivative operation which naturally decomposes the band-pass signal into analytic (called «´Øµ · «) and anti-analytic(More)
Three hybrid digital-analog (HDA) systems, denoted by HDA-I, HDA * and HDA-II, for the coding of a memoryless discrete-time Gaussian source over a discrete-time additive memoryless Gaussian channel under bandwidth compression are studied. The systems employ simple linear coding in their analog component and superimpose their analog and digital signals(More)
This paper proposes a simple and effective approach to improve the accuracy of multiple sequence alignment. We use a natural measure to estimate the similarity of the input sequences, and based on this measure, we align the input sequences differently. For example, for inputs with high similarity, we consider the whole sequences and align them globally,(More)