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A secondary data analysis of the matched dataset was conducted.
GenGen got 133 candidate pathways from Group B, but none from Group A. Furthermore, SRT provided 10 candidate pathways from Group A and 5 candidate pathways from Group B, and there was no overlapped pathway between Group A and Group B. Comparison among different PBA tools for the same GWAS dataset was conducted.
Filtering of the dataset was conducted in two stages.
ML phylogeny on each dataset was conducted using RAxML (Stamatakis 2006) with the GTRGAMMA model.
The analysis of the concatenated dataset was conducted with separate evolutionary model settings for each partition.
The merging and cleaning of the dataset was conducted by academics at Seoul National University.
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Experiments on a real-world dataset were conducted to show the merits of the proposed approach using the two fitness functions with SAX and ESAX.
Finally, a series of experiments on the MovieLens-100K dataset are conducted to demonstrate the outperformance of RAdaBoost over other competing techniques such as SVM, kNN and AdaBoost.
In the second step of our study a social network analysis of Twitter users in the dataset is conducted.
The experiments on the ISMIR 2004 Genre dataset were conducted according to the ISMIR 2004 Audio Description Contest protocol.
To do so, secondary analyses of the ICILS 2013 dataset are conducted using the student data set from the 21 education systems that participated in the study.
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