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We implemented the M-Index with the B+-tree and performed experiments on two datasets the first is an artificial set of vectors and the other is a real-life dataset composed of a combination of five MPEG-7 visual descriptors extracted from a database of up to several million digital images.
MARVEL dataset, composed of a massive number of images and their meta-data, carries interesting attributes to be considered for visual analysis tasks.
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We further analyzed the case-control dataset, composed of an admixture of several pig lines, two Duroc lines, two Landrace lines, one Large White line, and crossbred animals (Pietrain boars crossed to commercial females).
The analysis is based on an original dataset composed of all fares offered by easyJet up to 90 days beforedeparture, on all flights during the period 2007 2009.
Comparing one's own expression profiles with reference datasets composed of a variety of different experimental conditions allows interpreting similarities globally or at the level of individual gene signatures.
Results from experiments show the proposed method obtained an average of 98.9% classification accuracy with a standard deviation of 0.96% with a dataset composed of 8 fish species and a total of 1049 images.
We tested our method on a simulation dataset, a real dataset composed of several known genomes, and a real metagenome NGS short reads dataset.
The training accuracy reached 100% when all data corresponding to a particular touch were bound together in a group for a particular block (sector), and thereby a dataset composed of 1,500 input vectors with 1,500 labels was considered as a group representing each independent touch.
In the Results and discussion section, we use the proposed heuristic algorithms over a real dataset composed of 2147 Lattes CV from professors of a Brazilian university to answer our two research questions.
I found myself inexperienced and trying to make sense out of a dataset composed of 19,000 genes.
Here we have described the genomic analysis of a dataset composed of publicly available gene expression data for mouse models of breast cancer.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com