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Mutational analysis of the database illustrates the allelic heterogeneity of the DMD gene.
The research conducted during the building of the DAISIE database illustrates the magnitude of taxonomic work behind any alien species database.
Bibliometrics retrieving over 1,700 publications in the Medline database illustrates the fact that this complex is emerging, causing both sporadic cases and outbreaks of community-acquired and health-care associated infections [ 9].
The data in the initial release of the database illustrates several different proteomics techniques in use, including sample processing based on classical 2D Gels and DIGE, the use of different gel imaging software, mass spectrometry using MALDI-TOF and MS/MS, and in silico data analyses using more than one program.
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Experiments performed with the CASIA database illustrate the performance of the proposed algorithm.
Simulations results with the Pointing Head Pose Image Database illustrate the performance of the designed correlation filter for multi-view face recognition.
Learning the multiclass SVM models: for face databases, we learn four multi-class SVM models using the images from the four benchmark databases (one multiclass SVM per benchmark database illustrated by SVMeach) and one multiclass SVM model containing examples from the four benchmark databases (illustrated by SVMall).
This album of the MORPH dataset has been used for several years to evaluate the performance of recognition under aging [24, 25]. Figure 3 shows sample images from the MORPH database illustrating the various challenges involved with the images.
The distribution of NOD value was compared between known miRNA biomarkers and all miRNAs in database, illustrated in Figure 2. Table 1 gives detailed information of known miRNAs biomarker which was extracted from the literature.
A previous study on the same database illustrated that nearly every fifth single mother (19.2%) smoked at least 20 cigarettes a day, whereas this applied only to 8.4% of partnered mothers.
Further real data analysis using CHNS database illustrated that BSS1 had the better performance than BSS2 as well as the single index (BMI, WC, WHR and WSR) for detecting the association between obesity and hypertension (Table 5), and for predicting hypertension (Table 5).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com