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Here we introduce a novel automated tract clustering algorithm based on label fusion – a concept from traditional intensity-based segmentation.
"A generative model for image segmentation based on label fusion". IEEE transactions on medical imaging 29 (10).
Nodes select other nodes that belong to the same community based on label.
Along with the aforementioned metric, a manifold alignment term based on label information is also introduced into the objective function.
So we used two recent methods, that have a good performance on LFR graphs with overlapping communities: COPRA [52], based on label propagation [53], and MOSES [54], based on stochastic block modeling [55].
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The automatic design of fuzzy rule-based classification systems based on labeled data is considered.
Herein we reported the development of aptamer-based biosensors (aptasensors) based on label-free aptamers and gold nanoparticles (AuNPs) for detection of Escherichia coli (E. coli) O157 H7 and Salmonella typhimurium.
Herein, we reported the development of aptamer-based biosensors (aptasensors) based on label-free aptamers and AuNPs for the detection of E. coli O157 H7 and S. typhimurium, with the aim of establishing a preliminary method to evaluate the utility of aptamer-AuNPs assay for enteropathogenic bacteria.
The primary focus therein is on dynamic and high-content profiling strategies based on label-free and fluorescence microspectroscopy and microscopy.
In our work, we have made theoretical analysis of a perfect optical biosensor using the 1D PC based on label-free optical sensing, which does not use fluorescence based-detection, where porous silicon interacts with biomolecule and reduces its refractive index by biomolecular reaction.
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