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In addition, there are recent works such as finding visually similar images using a convolutional deep neural network [24], it would be interesting to study if finding a similarity between images with deep neural networks helps in forming a quality metric that can eventually be used in a Wiener filter.
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In preparation for finding a purported similarity between this case and Bell v. Burson, 402 U.S. 535, 91 S.Ct.
This is why finding a pattern of similarities among organisms is not enough to establish homology.
A central problem is finding a way of determining similarity between the designer's query and the data stock.
We developed a new algorithm for finding similarity between protein multiple alignments by finding a way to convert multiple alignments into "ancestral" sequences.
Our results contribute to this ongoing exploration by finding an abundance of genetic similarity among couples (parents of children with MS) across class I of the MHC.
The goal of this work is finding an accurate alignment-free interface similarity measure and demonstrating its advantages and applicability.
This correlates well with our finding of a similarity in the kinetics of apoptosis induced by CDK inhibitor drugs and the protein transcription inhibitor actinomycin-D and the protein translation inhibitor cycloheximide.
Our findings indicate a similarity in the effects of exurban homes on avian communities and the size of the ecological impact zone in these structurally different eastern and western North American landscapes.
Ideally, the comparison group should be large (to strengthen the significance of findings), demonstrate a similarity with the treatment group from the engineering viewpoint, and a certain similarity with the treatment group from the viewpoint of accident changes in the past [15, 11].
In this paper we focus our attention on finding structural similarities for a structured query RNA in a large database efficiently and quickly and propose an algorithm RScan to do the job.
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