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Cough detection and assessment have crucial clinical value for respiratory diseases. Subjective assessments are widely adopted in clinical measurement nowadays, but they are neither accurate nor reliable. An automatic and objective system for cough assessment is strongly expected. Automatic cough detection from audio signal has been studied by peer works. But they are still facing some difficulties...
Cytosine methylation plays an important role in many biological regulation processes. The current gold-standard method for analyzing cytosine methylation is based on sodium bisulfite treatment and high-throughput sequencing technologies. In this paper we introduce a new tool called TAMeBS for cytosine methylation analysis using bisulfite sequencing data. It aims to align long bisulfite-treated DNA...
Characterizing the transcriptomic change between human and chimpanzee brains can provide clues for identifying the cellular functions underlying human's enhanced cognition and the increased vulnerability to the neurodegenerative and psychiatric disorders. Despite some successes, previous studies might have limited sensitivity to detect specific cellular functions since the focus has been only on the...
Mining the protein complexes and functional modules from protein-protein interaction (PPI) networks is vital to understand the mechanism of cellular components and protein functions. Most of the proposed methods had solely focused on static properties of the PPI networks since the available PPI data are static. However, cellular systems are highly dynamic. That is, the interactions of proteins are...
Test based on electrocardiograms (ECG) that record the heart electrical activity can help in early detection of patients with hypertrophic cardiomyopathy (HCM) where the heart muscle is partially thickened and blood flow is (potentially fatally) obstructed. This paper presents a cardiovascular-patient classifier we developed to identify HCM patients using standard 10-seconds, 12-lead ECG signals....
Inference of ancestral or extinct genomes is important in evolutionary biology, cancer research and many other research areas. Whole-genome data has become readily available due to advances in large-scale sequencing technology. During the past decades, a number of evolutionary models and related algorithms have been designed to infer ancestral genome sequence or gene order. Since it is so hard or...
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