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This study describes the development of an identification method that uses integrated microscopic analysis and real-time PCR based method to distinguish and estimate the abundance of pelagic calanoida nauplii, Neocalanus plumchrus, and to determine their phenology and ontogenetic vertical migration (OVM) in the Oyashio region.
The results show that an orthogonal polynomial-based method of distinguishing signal peaks from background in mass spectra preserves a greater portion of signal peaks than compared methods, improving accuracy in sequence determination.
We present a novel image-analysis based method for automatically distinguishing low, intermediate, and high grades of breast cancer in digitized histopathology.
In this paper, we describe a real-time PCR based method with the required accuracy and precision to be able to distinguish plants with only a single copy of a transgene from homozygous plants and/or plants with multiple insertions.
The statistically based method makes it possible to distinguish between chemical effects caused by the presence of oxygenated groups in the fuel mixture and mere dilution of the original fuel by the additive.
Westerhoff (2004) develops a method of distinguishing categories based on substitutability in worldly states of affairs rather than language.
However, the classification technique presented in this research provides a highly accurate method of distinguishing between subjects with normal and abnormal lung function based on voluntary cough characteristics.
We need a clear method of distinguishing such cases.
The opinion-poll method of distinguishing right from wrong is widely accepted among politicians.
Four methods are compared: 1) a PM-MM model, 2) a PDNN (position-dependent nearest neighbor model) of Ronald et al. [ 32], 3) the method of Winzeler et al. [ 30] based on genomic DNA that does not distinguish between the effects of expression differences across a probe set versus in a specific probe, and 4) a k-means clustering based method.
In general, three major classes of scoring functions can be distinguished: force-field based methods, knowledge-based potentials, and empirical scoring functions.
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