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In hot region prediction research, some models are based on structure information, and others are based on a protein interaction network.
Most related solving methods, such as GGL Groupp graphical lasso) and FMGL (Fused multiple graphical lasso), focus on the information of the edge values, and pay few attention to the estimation based on structure information.
Wie et al. [ 12] used a computational method called Theoretical Microscopic Titration Curves (THEMATICS), which computes theoretical electrostatic properties of residues based on structure information.
2) The tRNA genes were found by comparing the results predicted from the programs tRNAscan-se (Lowe and Eddy 1997), ARWEN (Laslett and Canback 2008), and DOGMA (Wyman et al. 2004) based on structure information.
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Nonetheless, weighing constructs proved to be a promising way of increasing the effectiveness of bug localization techniques based on structured information retrieval.
It was previously demonstrated that bug localization based on structured information retrieval benefits from the usage of more program constructs (RQ2, Section 3.7).
Thus, contrary to our initial assumption, it is not needed to remove low-contributing constructs from bug localization models based on structured information retrieval.
One possible way of increasing effectiveness of bug localization based on structured information retrieval is to assign different weights to the parts in which source files are split (Saha et al. 2013).
Bug localization techniques based on structured information retrieval, such as BLUiR (Saha et al. 2013) and AmaLgam (Wang and Lo 2014), have shown considerable improvements over other traditional IR approaches (Section 2.2).
Initially, we questioned whether current state-of-the-art bug localization techniques based on structured information retrieval, i.e., BLUiR, BLUiR+, and AmaLgam, would effectively locate bugs in C# projects.
These clinics maintain a computerised system for patient statistics based on structured information that is gathered in relation to each child who attends a CAP-clinic.
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