Furthermore, the ANRW treats the node as the calculating unity, thus the running manner of the ANRW is suitable to the parallel computing, which could meet the requirement of large dataset mining.
FL participated in the design of the study, carried out the transcriptomic dataset mining, antibody validation, TMA staining, lentiviral overexpression, and functional analysis; performed the statistical analysis, and drafted the manuscript.
The datasets for the study were obtained from three Ontario sites – Greensborough, Cookstown, and Alcona – in addition to datasets mined from the literature for three additional sites – Treynor, Iowa, Coshocton, Ohio and Cordoba, Spain.
These models were developed using surface runoff monitoring datasets obtained from three sites – Greensborough, Cookstown, and Alcona – in Ontario and datasets mined from the literature for three additional sites – Treynor, Iowa, Coshocton, Ohio and Cordoba, Spain.
Furthermore, to validate the reliability of our proposed method in eliminating low confident data in raw dataset, we mined function of pathways (containing predicted target genes) from literatures and checked their consistency with TFs' mutant-phenotypes in ATPID database [ 44].
However, as new datasets are available, new data mining methods are developed and the goal appears ever more achievable.
To obtain patterns from the dataset, data mining techniques are used.
The UF-tree algorithm was proposed to construct the UF-tree structure from an uncertain dataset and mine frequent itemsets from the tree.
ConTra graphically represents contradictory data from a noisy dataset by mining the contradictory data in the investigated dataset and enabling the visualisation of such data in a pie chart.
Several participants said that they needed more individualized help analyzing their raw dataset when mining it for additional information.
