Sentence examples for mining analysis of from inspiring English sources

For the "Creating a Connectivity Map of the Brain Using Brain Images" subsection (presented by the studies [8, 66], and [9]), actual data mining analysis of the connectivity map remains entirely in the scope of future work.

This approach combined gene selection based on the G2D data mining analysis of the bibliographic and protein public databases, or according to the genes already known to be associated with the same or a similar phenotype.

G2D performs the selection of the candidates in the chromosomal regions genetically linked to a disease by highlighting genes whose functions are related to the phenotype of the disease according to a data mining analysis of the bibliographic and protein public databases, or according to the genes already known to be associated with the same or a similar phenotype.

This article describes the data mining analysis of a clinical exposure study of 3585 adult smokers and 1077 nonsmokers.

The disease-disease association dataset, including 5080 diseases, was downloaded from MimMiner [ 52], which provides a similarity score for each phenotype pair by text mining analysis of their phenotype descriptions in the Online Mendelian Inheritance in Man (OMIM) database [ 53].

New findings derived from the statistical and data mining analysis of TCGA data are published regularly and have already proven to be a valuable addition to cancer research [ 1– 4].

Also, a recent data-mining analysis of ESTs from phytoparasitic nematodes, including some RKN species, showed that trinucleotide repeats were the most abundant microsatellites in coding ESTs [ 27].

SD contributed to the conception and carried out data mining, analysis and writing of the manuscript.

There are several tools to perform a text data mining analysis but several of them require extra information (i.e. chromosome region) instead phenotype or diseases notation (i.e. diseases name or related keywords).

This table presents the results of association mining analysis demonstrating three interesting frequent itemsets comprising of only navigational tags It also presents 10 association rules generated from these three itemsets.

Moreover, the data mining analysis detects a high correlation of miR-1 and miR-206, which are frequently associated in terms of both biological processes and pathologies.