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These alterations affect diagnosis, prognosis, and therapy, and with this understanding classification systems are evolving from a primarily hematological and morphological basis toward a multifactorial appreciation that includes histomorphology, metaphase cytogenetics, and directed molecular studies.
In this study, we present the self-organizing map (SOM) as a tool to create ambient air quality classifications because the method offers the benefit of a visual medium (the 'map') that can be useful for understanding classification results [ 15].
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Here he extends the discussion of variation developed in chapter one into an attack on the traditional" Linnaean" understanding of classification as a sorting out of species by means of essential defining properties.
We demonstrate that the pedogenic understanding raster classification (PURC) approach can be transferred to a new soil survey project area and that classification tree analysis is a viable alternative to a knowledge-based decision tree for predicting the distribution of soil classes.
A few recent research papers describe animal competence at social and cognitive tasks that humans often struggle with — mastering conversational etiquette, understanding botanical classification, competing on game shows and figuring out how to get a drink when you're thirsty and the only glass of water is glued to the table and your hands are tied behind your back.
The usual goals are data understanding, visualization, classification, and the computation of means.
This study provides valuable information for understanding the classification and putative functions of the MAPK signal in apple.
This study provides valuable information for understanding the classification and putative functions of the RNA helicase gene family in Solanaceae.
Expectation Maximization (EM) is a popular approach for parameter estimation in many applications, such as image understanding, document classification, and genome data analysis.
Most of the theory supporting our understanding of classification images relies on standard signal detection models and the use of normally distributed stimulus noise.
To the best of our knowledge, this report describes the first genome-wide analysis of the apple NAC gene family, and the results should provide valuable information for understanding the classification and putative functions of this family.
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